WO2022246278A1 - Profils de mouvement pour balayage intelligent au moyen d'un miroir de galvanomètre à l'intérieur d'un dispositif de balayage lidar - Google Patents

Profils de mouvement pour balayage intelligent au moyen d'un miroir de galvanomètre à l'intérieur d'un dispositif de balayage lidar Download PDF

Info

Publication number
WO2022246278A1
WO2022246278A1 PCT/US2022/030373 US2022030373W WO2022246278A1 WO 2022246278 A1 WO2022246278 A1 WO 2022246278A1 US 2022030373 W US2022030373 W US 2022030373W WO 2022246278 A1 WO2022246278 A1 WO 2022246278A1
Authority
WO
WIPO (PCT)
Prior art keywords
mirror
roi
galvanometer mirror
movement profile
angular
Prior art date
Application number
PCT/US2022/030373
Other languages
English (en)
Other versions
WO2022246278A8 (fr
Inventor
Yufeng Li
Yimin LY
Rui Zhang
Barry Loveridge
Peng WAN
Junwei Bao
Haosen WANG
Gang Zhou
Original Assignee
Innovusion, Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Innovusion, Inc. filed Critical Innovusion, Inc.
Priority to EP22731899.5A priority Critical patent/EP4314884A1/fr
Priority to CN202280035712.XA priority patent/CN117413199A/zh
Priority claimed from US17/749,968 external-priority patent/US11662440B2/en
Publication of WO2022246278A1 publication Critical patent/WO2022246278A1/fr
Publication of WO2022246278A8 publication Critical patent/WO2022246278A8/fr

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/88—Lidar systems specially adapted for specific applications
    • G01S17/93—Lidar systems specially adapted for specific applications for anti-collision purposes
    • G01S17/931—Lidar systems specially adapted for specific applications for anti-collision purposes of land vehicles
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/48—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S17/00
    • G01S7/481—Constructional features, e.g. arrangements of optical elements
    • G01S7/4814—Constructional features, e.g. arrangements of optical elements of transmitters alone
    • G01S7/4815—Constructional features, e.g. arrangements of optical elements of transmitters alone using multiple transmitters
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/48—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S17/00
    • G01S7/481—Constructional features, e.g. arrangements of optical elements
    • G01S7/4817—Constructional features, e.g. arrangements of optical elements relating to scanning
    • G—PHYSICS
    • G02—OPTICS
    • G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
    • G02B26/00—Optical devices or arrangements for the control of light using movable or deformable optical elements
    • G02B26/08—Optical devices or arrangements for the control of light using movable or deformable optical elements for controlling the direction of light
    • G02B26/10—Scanning systems
    • G02B26/105—Scanning systems with one or more pivoting mirrors or galvano-mirrors
    • G—PHYSICS
    • G02—OPTICS
    • G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
    • G02B26/00—Optical devices or arrangements for the control of light using movable or deformable optical elements
    • G02B26/08—Optical devices or arrangements for the control of light using movable or deformable optical elements for controlling the direction of light
    • G02B26/10—Scanning systems
    • G02B26/12—Scanning systems using multifaceted mirrors
    • G—PHYSICS
    • G02—OPTICS
    • G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
    • G02B26/00—Optical devices or arrangements for the control of light using movable or deformable optical elements
    • G02B26/08—Optical devices or arrangements for the control of light using movable or deformable optical elements for controlling the direction of light
    • G02B26/10—Scanning systems
    • G02B26/12—Scanning systems using multifaceted mirrors
    • G02B26/127—Adaptive control of the scanning light beam, e.g. using the feedback from one or more detectors

Definitions

  • This disclosure relates generally to optical scanning and, more particularly, to performing intelligent scanning by controlling movement profiles of a galvanometer mirror.
  • LiDAR Light detection and ranging
  • Some typical LiDAR systems include a light source, a light transmitter, a light steering system, and a light detector.
  • the light source generates a light beam that is directed by the light steering system in particular directions when being transmitted from the LiDAR system.
  • a transmitted light beam is scattered by an object, a portion of the scattered light returns to the LiDAR system as a return light pulse.
  • the light detector detects the return light pulse. Using the difference between the time that the return light pulse is detected and the time that a corresponding light pulse in the light beam is transmitted, the LiDAR system can determine the distance to the object using the speed of light.
  • the light steering system can direct light beams along different paths to allow the LiDAR system to scan the surrounding environment and produce images or point clouds. LiDAR systems can also use techniques other than time-of-fhght and scanning to measure the surrounding environment.
  • mirror movement profiles are configured such that the speeds of the mirror movement in different regions are different.
  • the movement profiles are used for controlling a galvanometer mirror movement.
  • the skipped scanlines and redundant scanlines are reduced or eliminated. Eliminating or minimizing the skipped scanlines and the redundant scanlines improves the resolutions of the scanline pattern, reduces the speed of the light steering device for producing the same total number of scanlines, and thus improves the overall performance of the LiDAR system.
  • the rotation cycle of a light steering device can be configured to synchronize with the scanning cycle of galvanometer mirror. The synchronization between the light steering device and the galvanometer mirror reduces or eliminates frame-to- frame jitter, thereby providing a more stable point cloud data.
  • a light detection and ranging (LiDAR) scanning system comprises a light steering device; a galvanometer mirror controllable to oscillate between two angular positions; and a plurality of transmitter channels configured to direct light to the galvanometer mirror.
  • the plurality of transmitter channels are separated by an angular channel spacing from one another.
  • the system further comprises a control device. Inside an end-of-travel region, the control device controls the galvanometer mirror to move based on a first mirror movement profile. Outside the end-of-travel region, the control device controls the galvanometer mirror to move based on a second mirror movement profile. The second mirror movement profile is different from the first mirror-movement profile. Movement of the galvanometer mirror based on the first mirror movement profile facilitates minimizing instances of scanlines corresponding to the end-of-travel region having a pitch exceeding a first target pitch.
  • a method for performing scan using a light detection and ranging (LiDAR) system is provided.
  • the method is performed by one or more processors and memory.
  • the method comprises, inside an end-of-travel region, controlling the galvanometer mirror to move based on a first mirror movement profile.
  • the end-of-travel region comprises a first part within a first threshold angular distance of a first of the two angular positions and a second part within a second threshold angular distance of a second of the two angular positions.
  • the method further comprises, outside the end-of-travel region, controlling the galvanometer mirror to move based on a second mirror movement profile.
  • the second mirror movement profile is different from the first mirror-movement profile. Movement of the galvanometer mirror based on the first mirror movement profile facilitates minimizing instances of scanlines corresponding to the end- of-travel region having a pitch exceeding a first target pitch.
  • a non-transitory computer readable medium storing one or more programs.
  • the one or more programs comprising instructions, which when executed by one or more processors of an electronic device, cause the electronic device to perform a method for performing scan using a light detection and ranging (LiDAR) system.
  • the method comprises, inside an end-of-travel region, controlling the galvanometer mirror to move based on a first mirror movement profile.
  • the end-of-travel region comprises a first part within a first threshold angular distance of a first of the two angular positions and a second part within a second threshold angular distance of a second of the two angular positions.
  • the method further comprises, outside the end-of-travel region, controlling the galvanometer mirror to move based on a second mirror movement profile.
  • the second mirror movement profile is different from the first mirror-movement profile. Movement of the galvanometer mirror based on the first mirror movement profile facilitates minimizing instances of scanlines corresponding to the end-of-travel region having a pitch exceeding a first target pitch.
  • FIG. 1 illustrates one or more exemplary LiDAR systems disposed or included in a motor vehicle.
  • FIG. 2 is a block diagram illustrating interactions between an exemplary LiDAR system and multiple other systems including a vehicle perception and planning system.
  • FIG. 3 is a block diagram illustrating an exemplary LiDAR system.
  • FIG. 4 is a block diagram illustrating an exemplary fiber-based laser source.
  • FIGs. 5A-5C illustrate an exemplary LiDAR system using pulse signals to measure distances to objects disposed in a field-of-view (FOV).
  • FOV field-of-view
  • FIG. 6 is a block diagram illustrating an exemplary apparatus used to implement systems, apparatus, and methods in various embodiments.
  • FIG. 7 illustrates a simplified LiDAR scanning system, according to some embodiments.
  • FIG. 8 is a perspective view of a simplified LiDAR scanning system, according to some embodiments.
  • FIG. 9 shows three sample transmission beams angular position patterns when a LiDAR system is not configured for scanning a region of interest (ROI), according to some embodiments.
  • ROI region of interest
  • FIG. 10 is a sample transmission beams angular position pattern with a LiDAR system is configured for scanning an ROI, according to some embodiments.
  • FIG. 11 A is a block diagram illustrating a control device and additional components used to control the galvanometer mirror movement and to control the light steering device movement, according to some embodiments.
  • FIG. 1 IB is a flowchart illustrating a method for controlling a galvanometer mirror, according to some embodiments.
  • FIG. 12 is a sample transmission beams angular position pattern when the galvanometer mirror is configured for scanning according to one or more movement profiles, according to some embodiments.
  • FIG. 13 illustrates example curves representing transmission beams angular position patterns, according to some embodiments.
  • FIG. 14 illustrates a zoom-in view of a portion of the example curves representing the transmission beams angular position patterns shown in FIG. 13, according to some embodiments.
  • FIG. 15 illustrates an example LiDAR scanning pattern, according to some embodiments. DETAILED DESCRIPTION
  • Coupled to is intended to include both direct coupling (in which two elements that are coupled to each other contact each other) and indirect coupling (in which at least one additional element is located between the two elements). Therefore, the terms “coupled to” and “coupled with” are used synonymously. Within the context of a networked environment where two or more components or devices are able to exchange data, the terms “coupled to” and “coupled with” are also used to mean “communicatively coupled with”, possibly via one or more intermediary devices.
  • first means “first,” “second,” etc. to describe various elements, these elements should not be limited by the terms. These terms are only used to distinguish one element from another.
  • a first profile could be termed a second profile and, similarly, a second profile could be termed a first profile, without departing from the scope of the various described examples.
  • the first profile and the second profile can both be profiles and, in some cases, can be separate and different profiles.
  • the meaning of “a”, “an”, and “the” includes plural references, and the meaning of “in” includes “in” and “on”.
  • inventive subject matter is considered to include all possible combinations of the disclosed elements. As such, if one embodiment comprises elements A, B, and C, and another embodiment comprises elements B and D, then the inventive subject matter is also considered to include other remaining combinations of A, B, C, or D, even if not explicitly discussed herein.
  • transitional term “comprising” means to have as parts or members, or to be those parts or members. As used herein, the transitional term “comprising” is inclusive or open-ended and does not exclude additional, unrecited elements or method steps.
  • servers services, interfaces, engines, modules, clients, peers, portals, platforms, or other systems formed from computing devices. It should be appreciated that the use of such terms is deemed to represent one or more computing devices having at least one processor (e.g., ASIC, FPGA, PLD, DSP, x86, ARM, RISC-V, ColdFire, GPU, multi-core processors, etc.) configured to execute software instructions stored on a computer readable tangible, non-transitory medium (e.g., hard drive, solid state drive, RAM, flash, ROM, etc.).
  • processor e.g., ASIC, FPGA, PLD, DSP, x86, ARM, RISC-V, ColdFire, GPU, multi-core processors, etc.
  • a computer readable tangible, non-transitory medium e.g., hard drive, solid state drive, RAM, flash, ROM, etc.
  • a server can include one or more computers operating as a web server, database server, or other type of computer server in a manner to fulfill described roles, responsibilities, or functions.
  • the various servers, systems, databases, or interfaces can exchange data using standardized protocols or algorithms, possibly based on HTTP, HTTPS, AES, public-private key exchanges, web service APIs, known financial transaction protocols, or other electronic information exchanging methods. Data exchanges can be conducted over a packet-switched network, a circuit-switched network, the Internet, LAN, WAN, VPN, or other type of network.
  • any language directed to a computer should be read to include any suitable combination of computing devices or network platforms, including servers, interfaces, systems, databases, agents, peers, engines, controllers, modules, or other types of computing devices operating individually or collectively.
  • the computing devices comprise a processor configured to execute software instructions stored on a tangible, non- transitory computer readable storage medium (e.g., hard drive, FPGA, PLA, solid state drive, RAM, flash, ROM, etc.).
  • the software instructions configure or program the computing device to provide the roles, responsibilities, or other functionality as discussed below with respect to the disclosed apparatus.
  • the disclosed technologies can be embodied as a computer program product that includes a non-transitory computer readable medium storing the software instructions that causes a processor to execute the disclosed steps associated with implementations of computer-based algorithms, processes, methods, or other instructions.
  • the various servers, systems, databases, or interfaces exchange data using standardized protocols or algorithms, possibly based on HTTP, HTTPS, AES, public-private key exchanges, web service APIs, known financial transaction protocols, or other electronic information exchanging methods.
  • Data exchanges among devices can be conducted over a packet-switched network, the Internet, LAN, WAN, VPN, or other type of packet switched network; a circuit switched network; cell switched network; or other type of network.
  • a LiDAR system may be configured to scan a field-of-view (FOV) and generate scan results at a certain frame rate.
  • the frame rate relates to the total number of scanlines per second.
  • increasing the rotational speed of the light steering device can increase the total number of scanlines per second.
  • a higher rotational speed of the light steering device causes a higher energy consumption, possibly greater acoustic noise, and reduced reliability and useful lifetime of the light steering device.
  • a galvanometer mirror in a LiDAR system oscillates between two angular positions to cover a vertical scanning range of the FOV.
  • the galvanometer mirror travels near one of the two angular positions (also referred to as the end positions or end angular positions)
  • it typically maintains the same speed as it travels in other regions and then changes speed rapidly down to zero. It then reverses the direction of movement to oscillate back to the other end position.
  • This manner of mirror movement inside the end-of-travel region oftentimes results in skipped or missing scanlines (as described in more detail below).
  • a LiDAR system may have multiple transmitter channels.
  • the channels may be positioned far apart with a large angular channel spacing.
  • the increased channel spacing may result in a higher number of skipped scanlines.
  • Scanline skipping may cause the data in the end-of-travel region to be less reliable and less useful. In some embodiments, these data may be unused and discarded. Thus, the scanning by the galvanometer mirror inside an end-of-travel region near the end positions may often be wasted.
  • redundant scanlines may result when the scan moves into and out from an ROI.
  • the galvanometer mirror may be configured to scan transmission light beams in the vertical dimension.
  • An ROI may be positioned to be in the middle of the galvanometer mirror’s scanning range in the vertical dimension.
  • the galvanometer mirror may start from one end position, moves outside of the ROI, moves into the ROI, and then moves outside of the ROI again toward the other end position.
  • redundant scanlines may result.
  • the redundant scanlines are often unnecessary.
  • a high number of redundant scanlines causes wasting of energy to process the scanlines and increases the number of scanlines needed to cover a desired FOV in the vertical dimension.
  • mirror movement profiles are configured and used for controlling the galvanometer mirror movement.
  • the scanline skipping and redundant scanlines can be reduced or eliminated by properly configuring one or more movement profiles of the galvanometer mirror such that the speeds of the mirror movement in different regions are different. Eliminating or minimizing the skipped scanlines improves the resolutions of the scanline pattern, reduces the speed of the light steering device for producing the same total number of scanlines, and thus improves the overall performance of the LiDAR system.
  • the rotation cycle of a light steering device can be configured to synchronize with the scanning cycle of galvanometer mirror. The synchronization between the light steering device and the galvanometer mirror provides a more stable point cloud data, which is often desirable.
  • FIG. 1 illustrates one or more exemplary LiDAR systems 110 disposed or included in a motor vehicle 100.
  • Motor vehicle 100 can be a vehicle having any automated level.
  • motor vehicle 100 can be a partially automated vehicle, a highly automated vehicle, a fully automated vehicle, or a driverless vehicle.
  • a partially automated vehicle can perform some driving functions without a human driver’s intervention.
  • a partially automated vehicle can perform blind-spot monitoring, lane keeping and/or lane changing operations, automated emergency braking, smart cruising and/or traffic following, or the like.
  • Certain operations of a partially automated vehicle may be limited to specific applications or driving scenarios (e.g., limited to only freeway driving).
  • a highly automated vehicle can generally perform all operations of a partially automated vehicle but with less limitations.
  • a highly automated vehicle can also detect its own limits in operating the vehicle and ask the driver to take over the control of the vehicle when necessary.
  • a fully automated vehicle can perform all vehicle operations without a driver’s intervention but can also detect its own limits and ask the driver to take over when necessary.
  • a driverless vehicle can operate on its own without any driver intervention.
  • motor vehicle 100 comprises one or more LiDAR systems 110 and 120A-F.
  • LiDAR systems 110 and 120A-F can be a scanning-based LiDAR system and/or a non-scanning LiDAR system (e.g., a flash LiDAR).
  • a scanning-based LiDAR system scans one or more light beams in one or more directions (e.g., horizontal and vertical directions) to detect objects in a field-of-view (FOV).
  • a non-scanning based LiDAR system transmits laser light to illuminate an FOV without scanning.
  • a flash LiDAR is a type of non scanning based LiDAR system.
  • a flash LiDAR can transmit laser light to simultaneously illuminate an FOV using a single light pulse or light shot.
  • a LiDAR system is often an essential sensor of a vehicle that is at least partially automated.
  • motor vehicle 100 may include a single LiDAR system 110 (e.g., without LiDAR systems 120A-F) disposed at the highest position of the vehicle (e.g., at the vehicle roof). Disposing LiDAR system 110 at the vehicle roof facilitates a 360-degree scanning around vehicle 100.
  • motor vehicle 100 can include multiple LiDAR systems, including two or more of systems 110 and/or 120A-F. As shown in FIG.
  • multiple LiDAR systems 110 and/or 120A-F are attached to vehicle 100 at different locations of the vehicle.
  • LiDAR system 120A is attached to vehicle 100 at the front right corner
  • LiDAR system 120B is attached to vehicle 100 at the front center
  • LiDAR system 120C is attached to vehicle 100 at the front left corner;
  • LiDAR system 120D is attached to vehicle 100 at the right-side rear view mirror; LiDAR system 120E is attached to vehicle 100 at the left-side rear view mirror; and/or LiDAR system 120F is attached to vehicle 100 at the back center.
  • LiDAR systems 110 and 120A-F are independent LiDAR systems having their own respective laser sources, control electronics, transmitters, receivers, and/or steering mechanisms.
  • some of LiDAR systems 110 and 120A-F can share one or more components, thereby forming a distributed sensor system.
  • optical fibers are used to deliver laser light from a centralized laser source to all LiDAR systems. It is understood that one or more LiDAR systems can be distributed and attached to a vehicle in any desired manner and FIG.
  • LiDAR systems 120D and 120E may be attached to the B- pillars of vehicle 100 instead of the rear- view mirrors.
  • LiDAR system 120B may be attached to the windshield of vehicle 100 instead of the front bumper.
  • FIG. 2 is a block diagram 200 illustrating interactions between vehicle onboard LiDAR system(s) 210 and multiple other systems including a vehicle perception and planning system 220.
  • LiDAR system(s) 210 can be mounted on or integrated to a vehicle.
  • LiDAR system(s) 210 include sensor(s) that scan laser light to the surrounding environment to measure the distance, angle, and/or velocity of objects. Based on the scattered light that returned to LiDAR system(s) 210, it can generate sensor data (e.g., image data or 3D point cloud data) representing the perceived external environment.
  • sensor data e.g., image data or 3D point cloud data
  • LiDAR system(s) 210 can include one or more of short-range LiDAR sensors, medium- range LiDAR sensors, and long-range LiDAR sensors.
  • a short-range LiDAR sensor measures objects located up to about 20-40 meters from the LiDAR sensor.
  • Short-range LiDAR sensors can be used for, e.g., monitoring nearby moving objects (e.g., pedestrians crossing street in a school zone), parking assistance applications, or the like.
  • a medium-range LiDAR sensor measures objects located up to about 100-150 meters from the LiDAR sensor.
  • Medium-range LiDAR sensors can be used for, e.g., monitoring road intersections, assistance for merging onto or leaving a freeway, or the like.
  • a long-range LiDAR sensor measures objects located up to about 150-300 meters.
  • Long-range LiDAR sensors are typically used when a vehicle is travelling at high speed (e.g., on a freeway), such that the vehicle’s control systems may only have a few seconds (e.g., 6-8 seconds) to respond to any situations detected by the LiDAR sensor.
  • the LiDAR sensor data can be provided to vehicle perception and planning system 220 via a communication path 213 for further processing and controlling the vehicle operations.
  • Communication path 213 can be any wired or wireless communication links that can transfer data.
  • vehicle onboard sensor(s) 230 are used to provide additional sensor data separately or together with LiDAR system(s) 210.
  • Other vehicle onboard sensors 230 may include, for example, one or more camera(s) 232, one or more radar(s) 234, one or more ultrasonic sensor(s) 236, and/or other sensor(s) 238.
  • Camera(s) 232 can take images and/or videos of the external environment of a vehicle.
  • Camera(s) 232 can take, for example, high-definition (HD) videos having millions of pixels in each frame.
  • a camera produces monochrome or color images and videos. Color information may be important in interpreting data for some situations (e.g., interpreting images of traffic lights).
  • Camera(s) 232 can include one or more of narrow-focus cameras, wider-focus cameras, side-facing cameras, infrared cameras, fisheye cameras, or the like.
  • the image and/or video data generated by camera(s) 232 can also be provided to vehicle perception and planning system 220 via communication path 233 for further processing and controlling the vehicle operations.
  • Communication path 233 can be any wired or wireless communication links that can transfer data.
  • Other vehicle onboard sensos(s) 230 can also include radar sensor(s) 234.
  • Radar sensor(s) 234 use radio waves to determine the range, angle, and velocity of objects. Radar sensor(s) 234 produce electromagnetic waves in the radio or microwave spectrum. The electromagnetic waves reflect off an object and some of the reflected waves return to the radar sensor, thereby providing information about the object’s position and velocity.
  • Radar sensor(s) 234 can include one or more of short-range radar(s), medium-range radar(s), and long-range radar(s).
  • a short-range radar measures objects located at about 0.1-30 meters from the radar.
  • a short-range radar is useful in detecting objects located nearby the vehicle, such as other vehicles, buildings, walls, pedestrians, bicyclists, etc.
  • a short-range radar can be used to detect a blind spot, assist in lane changing, provide rear-end collision warning, assist in parking, provide emergency braking, or the like.
  • a medium-range radar measures objects located at about 30-80 meters from the radar.
  • a long-range radar measures objects located at about 80-200 meters.
  • Medium- and/or long-range radars can be useful in, for example, traffic following, adaptive cruise control, and/or highway automatic braking.
  • Sensor data generated by radar sensor(s) 234 can also be provided to vehicle perception and planning system 220 via communication path 233 for further processing and controlling the vehicle operations.
  • Other vehicle onboard sensor(s) 230 can also include ultrasonic sensor(s) 236.
  • Ultrasonic sensor(s) 236 use acoustic waves or pulses to measure object located external to a vehicle. The acoustic waves generated by ultrasonic sensor(s) 236 are transmitted to the surrounding environment. At least some of the transmitted waves are reflected off an object and return to the ultrasonic sensor(s) 236. Based on the return signals, a distance of the object can be calculated.
  • Ultrasonic sensor(s) 236 can be useful in, for example, check blind spot, identify parking spots, provide lane changing assistance into traffic, or the like. Sensor data generated by ultrasonic sensor(s) 236 can also be provided to vehicle perception and planning system 220 via communication path 233 for further processing and controlling the vehicle operations.
  • one or more other sensor(s) 238 may be attached in a vehicle and may also generate sensor data.
  • Other sensor(s) 238 may include, for example, global positioning systems (GPS), inertial measurement units (IMU), or the like.
  • Sensor data generated by other sensor(s) 238 can also be provided to vehicle perception and planning system 220 via communication path 233 for further processing and controlling the vehicle operations.
  • communication path 233 may include one or more communication links to transfer data between the various sensor(s) 230 and vehicle perception and planning system 220.
  • sensor data from other vehicle onboard sensor(s) 230 can be provided to vehicle onboard LiDAR system(s) 210 via communication path 231.
  • LiDAR system(s) 210 may process the sensor data from other vehicle onboard sensor(s) 230.
  • sensor data from camera(s) 232, radar sensor(s) 234, ultrasonic sensor(s) 236, and/or other sensor(s) 238 may be correlated or fused with sensor data LiDAR system(s) 210, thereby at least partially offloading the sensor fusion process performed by vehicle perception and planning system 220.
  • other configurations may also be implemented for transmitting and processing sensor data from the various sensors (e.g., data can be transmitted to a cloud service for processing and then the processing results can be transmitted back to the vehicle perception and planning system 220).
  • sensors onboard other vehicle(s) are provided.
  • LiDAR 250 are used to provide additional sensor data separately or together with LiDAR system(s) 210.
  • two or more nearby vehicles may have their own respective LiDAR sensor(s), camera(s), radar sensor(s), ultrasonic sensor(s), etc.
  • Nearby vehicles can communicate and share sensor data with one another. Communications between vehicles are also referred to as V2V (vehicle to vehicle) communications.
  • sensor data generated by other vehicle(s) 250 can be communicated to vehicle perception and planning system 220 and/or vehicle onboard LiDAR system(s) 210, via communication path 253 and/or communication path 251, respectively.
  • Communication paths 253 and 251 can be any wired or wireless communication links that can transfer data.
  • Sharing sensor data facilitates a better perception of the environment external to the vehicles. For instance, a first vehicle may not sense a pedestrian that is a behind a second vehicle but is approaching the first vehicle. The second vehicle may share the sensor data related to this pedestrian with the first vehicle such that the first vehicle can have additional reaction time to avoid collision with the pedestrian.
  • data generated by sensors onboard other vehicle(s) 250 may be correlated or fused with sensor data generated by LiDAR system(s) 210, thereby at least partially offloading the sensor fusion process performed by vehicle perception and planning system 220.
  • intelligent infrastructure system(s) 240 are used to provide sensor data separately or together with LiDAR system(s) 210. Certain infrastructures may be configured to communicate with a vehicle to convey information and vice versa.
  • intelligent infrastructure system(s) 240 may include an intelligent traffic light that can convey its status to an approaching vehicle in a message such as “changing to yellow in 5 seconds.”
  • Intelligent infrastructure system(s) 240 may also include its own LiDAR system mounted near an intersection such that it can convey traffic monitoring information to a vehicle. For example, a left-turning vehicle at an intersection may not have sufficient sensing capabilities because some of its own sensors may be blocked by traffics in the opposite direction. In such a situation, sensors of intelligent infrastructure system(s) 240 can provide useful, and sometimes vital, data to the left-turning vehicle.
  • Such data may include, for example, traffic conditions, information of objects in the direction the vehicle is turning to, traffic light status and predictions, or the like.
  • These sensor data generated by intelligent infrastructure system(s) 240 can be provided to vehicle perception and planning system 220 and/or vehicle onboard LiDAR system(s) 210, via communication paths 243 and/or 241, respectively.
  • Communication paths 243 and/or 241 can include any wired or wireless communication links that can transfer data.
  • sensor data from intelligent infrastructure system(s) 240 may be transmitted to LiDAR system(s) 210 and correlated or fused with sensor data generated by LiDAR system(s) 210, thereby at least partially offloading the sensor fusion process performed by vehicle perception and planning system 220.
  • V2V and V2I communications described above are examples of vehicle-to-X (V2X) communications, where the “X” represents any other devices, systems, sensors, infrastructure, or the like that can share data with a vehicle.
  • vehicle perception and planning system 220 receives sensor data from one or more of LiDAR system(s) 210, other vehicle onboard sensor(s) 230, other vehicle(s) 250, and/or intelligent infrastructure system(s) 240.
  • sensor fusion sub-system 222 can generate a 360- degree model using multiple images or videos captured by multiple cameras disposed at different positions of the vehicle.
  • Sensor fusion sub-system 222 obtains sensor data from different types of sensors and uses the combined data to perceive the environment more accurately.
  • a vehicle onboard camera 232 may not capture a clear image because it is facing the sun or a light source (e.g., another vehicle’s headlight during nighttime) directly.
  • a LiDAR system 210 may not be affected as much and therefore sensor fusion sub-system 222 can combine sensor data provided by both camera 232 and LiDAR system 210, and use the sensor data provided by LiDAR system 210 to compensate the unclear image captured by camera 232.
  • a radar sensor 234 may work better than a camera 232 or a LiDAR system 210. Accordingly, sensor fusion sub-system 222 may use sensor data provided by the radar sensor 234 to compensate the sensor data provided by camera 232 or LiDAR system 210.
  • sensor data generated by other vehicle onboard sensor(s) 230 may have a lower resolution (e.g., radar sensor data) and thus may need to be correlated and confirmed by LiDAR system(s) 210, which usually has a higher resolution.
  • LiDAR system(s) 210 which usually has a higher resolution.
  • a sewage cover also referred to as a manhole cover
  • vehicle perception and planning system 220 may not be able to determine whether the object is an obstacle that the vehicle needs to avoid.
  • High-resolution sensor data generated by LiDAR system(s) 210 thus can be used to correlated and confirm that the object is a sewage cover and causes no harm to the vehicle.
  • Vehicle perception and planning system 220 further comprises an object classifier 223.
  • object classifier 223 can detect and classify the objects and estimate the positions of the objects.
  • object classifier 233 can use machine-learning based techniques to detect and classify objects. Examples of the machine-learning based techniques include utilizing algorithms such as region-based convolutional neural networks (R-CNN), Fast R-CNN, Faster R-CNN, histogram of oriented gradients (HOG), region-based fully convolutional network (R- FCN), single shot detector (SSD), spatial pyramid pooling (SPP-net), and/or You Only Look Once (Yolo).
  • R-CNN region-based convolutional neural networks
  • FCN region-based fully convolutional network
  • SSD single shot detector
  • SPP-net spatial pyramid pooling
  • Vehicle perception and planning system 220 further comprises a road detection sub system 224.
  • Road detection sub-system 224 localizes the road and identifies objects and/or markings on the road. For example, based on raw or fused sensor data provided by radar sensor(s) 234, camera(s) 232, and/or LiDAR system(s) 210, road detection sub-system 224 can build a 3D model of the road based on machine-learning techniques (e.g., pattern recognition algorithms for identifying lanes). Using the 3D model of the road, road detection sub-system 224 can identify objects (e.g., obstacles or debris on the road) and/or markings on the road (e.g., lane lines, turning marks, crosswalk marks, or the like).
  • objects e.g., obstacles or debris on the road
  • markings on the road e.g., lane lines, turning marks, crosswalk marks, or the like.
  • Vehicle perception and planning system 220 further comprises a localization and vehicle posture sub-system 225.
  • localization and vehicle posture sub-system 225 can determine position of the vehicle and the vehicle’s posture. For example, using sensor data from LiDAR system(s) 210, camera(s) 232, and/or GPS data, localization and vehicle posture sub-system 225 can determine an accurate position of the vehicle on the road and the vehicle’s six degrees of freedom (e.g., whether the vehicle is moving forward or backward, up or down, and left or right).
  • high-definition (HD) maps are used for vehicle localization. HD maps can provide highly detailed, three-dimensional, computerized maps that pinpoint a vehicle’s location.
  • localization and vehicle posture sub-system 225 can determine precisely the vehicle’s current position (e.g., which lane of the road the vehicle is currently in, how close it is to a curb or a sidewalk) and predict vehicle’s future positions.
  • Vehicle perception and planning system 220 further comprises obstacle predictor 226.
  • Objects identified by object classifier 223 can be stationary (e.g., a light pole, a road sign) or dynamic (e.g., a moving pedestrian, bicycle, another car). For moving objects, predicting their moving path or future positions can be important to avoid collision.
  • Obstacle predictor 226 can predict an obstacle trajectory and/or warn the driver or the vehicle planning sub-system 228 about a potential collision. For example, if there is a high likelihood that the obstacle’s trajectory intersects with the vehicle’s current moving path, obstacle predictor 226 can generate such a warning.
  • Obstacle predictor 226 can use a variety of techniques for making such a prediction.
  • Such techniques include, for example, constant velocity or acceleration models, constant turn rate and velocity/acceleration models, Kalman Filter and Extended Kalman Filter based models, recurrent neural network (RNN) based models, long short-term memory (LSTM) neural network based models, encoder-decoder RNN models, or the like.
  • RNN recurrent neural network
  • LSTM long short-term memory
  • vehicle perception and planning system 220 further comprises vehicle planning sub-system 228.
  • Vehicle planning sub-system 228 can include a route planner, a driving behaviors planner, and a motion planner.
  • the route planner can plan the route of a vehicle based on the vehicle’s current location data, target location data, traffic information, etc.
  • the driving behavior planner adjusts the timing and planned movement based on how other objects might move, using the obstacle prediction results provided by obstacle predictor 226.
  • the motion planner determines the specific operations the vehicle needs to follow.
  • the planning results are then communicated to vehicle control system 280 via vehicle interface 270.
  • the communication can be performed through communication paths 223 and 271, which include any wired or wireless communication links that can transfer data.
  • Vehicle control system 280 controls the vehicle’s steering mechanism, throttle, brake, etc., to operate the vehicle according to the planned route and movement.
  • Vehicle perception and planning system 220 may further comprise a user interface 260, which provides a user (e.g., a driver) access to vehicle control system 280 to, for example, override or take over control of the vehicle when necessary.
  • User interface 260 can communicate with vehicle perception and planning system 220, for example, to obtain and display raw or fused sensor data, identified objects, vehicle’s location/posture, etc. These displayed data can help a user to better operate the vehicle.
  • User interface 260 can communicate with vehicle perception and planning system 220 and/or vehicle control system 280 via communication paths 221 and 261 respectively, which include any wired or wireless communication links that can transfer data. It is understood that the various systems, sensors, communication links, and interfaces in FIG. 2 can be configured in any desired manner and not limited to the configuration shown in FIG. 2.
  • FIG. 3 is a block diagram illustrating an exemplary LiDAR system 300.
  • LiDAR system 300 can be used to implement LiDAR system 110, 120A-F, and/or 210 shown in FIGs. 1 and 2.
  • LiDAR system 300 comprises a laser source 310, a transmitter 320, an optical receiver and light detector 330, a steering system 340, and a control circuitry 350. These components are coupled together using communications paths 312, 314, 322, 332, 343, 352, and 362. These communications paths include communication links (wired or wireless, bidirectional or unidirectional) among the various LiDAR system components, but need not be physical components themselves.
  • the communications paths can be implemented by one or more electrical wires, buses, or optical fibers
  • the communication paths can also be wireless channels or free-space optical paths so that no physical communication medium is present.
  • communication path 314 between laser source 310 and transmitter 320 may be implemented using one or more optical fibers.
  • Communication paths 332 and 352 may represent optical paths implemented using free space optical components and/or optical fibers.
  • communication paths 312, 322, 342, and 362 may be implemented using one or more electrical wires that carry electrical signals.
  • the communications paths can also include one or more of the above types of communication mediums (e.g., they can include an optical fiber and a free-space optical component, or include one or more optical fibers and one or more electrical wires).
  • LiDAR system 300 can also include other components not depicted in FIG. 3, such as power buses, power supplies, LED indicators, switches, etc. Additionally, other communication connections among components may be present, such as a direct connection between light source 310 and optical receiver and light detector 330 to provide a reference signal so that the time from when a light pulse is transmitted until a return light pulse is detected can be accurately measured.
  • Laser source 310 outputs laser light for illuminating objects in a field of view (FOV).
  • Laser source 310 can be, for example, a semiconductor-based laser (e.g., a diode laser) and/or a fiber-based laser.
  • a semiconductor-based laser can be, for example, an edge emitting laser (EEL), a vertical cavity surface emitting laser (VCSEL), or the like.
  • a fiber-based laser is a laser in which the active gain medium is an optical fiber doped with rare-earth elements such as erbium, ytterbium, neodymium, dysprosium, praseodymium, thulium and/or holmium.
  • a fiber laser is based on double-clad fibers, in which the gain medium forms the core of the fiber surrounded by two layers of cladding.
  • the double-clad fiber allows the core to be pumped with a high-power beam, thereby enabling the laser source to be a high power fiber laser source.
  • laser source 310 comprises a master oscillator (also referred to as a seed laser) and power amplifier (MOP A).
  • the power amplifier amplifies the output power of the seed laser.
  • the power amplifier can be a fiber amplifier, a bulk amplifier, or a semiconductor optical amplifier.
  • the seed laser can be a diode laser (e.g., a Fabry -Perot cavity laser, a distributed feedback laser), a solid-state bulk laser, or a tunable external-cavity diode laser.
  • laser source 310 can be an optically pumped microchip laser. Microchip lasers are alignment-free monolithic solid-state lasers where the laser crystal is directly contacted with the end mirrors of the laser resonator.
  • a microchip laser is typically pumped with a laser diode (directly or using a fiber) to obtain the desired output power.
  • a microchip laser can be based on neodymium-doped yttrium aluminum garnet (Y3AI5O12) laser crystals (i.e.,
  • Nd:YAG Nd:YAG
  • ND:YV04 neodymium-doped vanadate
  • FIG. 4 is a block diagram illustrating an exemplary fiber-based laser source 400 having a seed laser and one or more pumps (e.g., laser diodes) for pumping desired output power.
  • Fiber- based laser source 400 is an example of laser source 310 depicted in FIG. 3.
  • fiber-based laser source 400 comprises a seed laser 402 to generate initial light pulses of one or more wavelengths (e.g., 1550 nm), which are provided to a wavelength-division multiplexor (WDM) 404 via an optical fiber 403.
  • WDM wavelength-division multiplexor
  • Fiber-based laser source 400 further comprises a pump 406 for providing laser power (e.g., of a different wavelength, such as 980 nm) to WDM 404 via an optical fiber 405.
  • WDM wavelength-division multiplexor
  • WDM 404 multiplexes the light pulses provided by seed laser 402 and the laser power provided by pump 406 onto a single optical fiber 407.
  • the output of WDM 404 can then be provided to one or more pre-amplifier(s) 408 via optical fiber 407.
  • Pre amplifiers) 408 can be optical amplifier(s) that amplify optical signals (e.g., with about 20-30 dB gain).
  • pre-amplifier(s) 408 are low noise amplifiers.
  • Pre-amplifier(s) 408 output to a combiner 410 via an optical fiber 409.
  • Combiner 410 combines the output laser light of pre-amplifier(s) 408 with the laser power provided by pump 412 via an optical fiber 411.
  • Combiner 410 can combine optical signals having the same wavelength or different wavelengths.
  • a combiner is a WDM.
  • Combiner 410 provides pulses to a booster amplifier 414, which produces output light pulses via optical fiber 410.
  • the booster amplifier 414 provides further amplification of the optical signals.
  • the outputted light pulses can then be transmitted to transmitter 320 and/or steering mechanism 340 (shown in FIG. 3).
  • FIG. 4 illustrates one exemplary configuration of fiber-based laser source 400.
  • Laser source 400 can have many other configurations using different combinations of one or more components shown in FIG. 4 and/or other components not shown in FIG. 4 (e.g., other components such as power supplies, lens, filters, splitters, combiners, etc.).
  • fiber-based laser source 400 can be controlled (e.g., by control circuitry 350) to produce pulses of different amplitudes based on the fiber gain profile of the fiber used in fiber-based laser source 400.
  • Communication path 312 couples fiber-based laser source 400 to control circuitry 350 (shown in FIG. 3) so that components of fiber-based laser source 400 can be controlled by or otherwise communicate with control circuitry 350.
  • fiber-based laser source 400 may include its own dedicated controller. Instead of control circuitry 350 communicating directly with components of fiber-based laser source 400, a dedicated controller of fiber-based laser source 400 communicates with control circuitry 350 and controls and/or communicates with the components of fiber-based light source 400.
  • Fiber-based light source 400 can also include other components not shown, such as one or more power connectors, power supplies, and/or power lines.
  • typical operating wavelengths of laser source 310 comprise, for example, about 850 nm, about 905 nm, about 940 nm, about 1064 nm, and about 1550 nm.
  • the upper limit of maximum usable laser power is set by the U.S. FDA (U.S. Food and Drug Administration) regulations.
  • the optical power limit at 1550 nm wavelength is much higher than those of the other aforementioned wavelengths. Further, at 1550 nm, the optical power loss in a fiber is low. There characteristics of the 1550 nm wavelength make it more beneficial for long-range LiDAR applications.
  • the amount of optical power output from laser source 310 can be characterized by its peak power, average power, and the pulse energy.
  • the peak power is the ratio of pulse energy to the width of the pulse (e.g., full width at half maximum or FWHM). Thus, a smaller pulse width can provide a larger peak power for a fixed amount of pulse energy.
  • a pulse width can be in the range of nanosecond or picosecond.
  • the average power is the product of the energy of the pulse and the pulse repetition rate (PRR). As described in more detail below, the PRR represents the frequency of the pulsed laser light.
  • the PRR typically corresponds to the maximum range that a LiDAR system can measure.
  • Laser source 310 can be configured to produce pulses at high PRR to meet the desired number of data points in a point cloud generated by the LiDAR system.
  • Laser source 310 can also be configured to produce pulses at medium or low PRR to meet the desired maximum detection distance.
  • Wall plug efficiency (WPE) is another factor to evaluate the total power consumption, which may be a key indicator in evaluating the laser efficiency.
  • WPE Wall plug efficiency
  • FIG. 1 multiple LiDAR systems may be attached to a vehicle, which may be an electrical-powered vehicle or a vehicle otherwise having limited fuel or battery power supply. Therefore, high WPE and intelligent ways to use laser power are often among the important considerations when selecting and configuring laser source 310 and/or designing laser delivery systems for vehicle-mounted LiDAR applications.
  • Laser source 310 can be configured to include many other types of light sources (e.g., laser diodes, short-cavity fiber lasers, solid-state lasers, and/or tunable external cavity diode lasers) that are configured to generate one or more light signals at various wavelengths.
  • light source 310 comprises amplifiers (e.g., pre-amplifiers and/or booster amplifiers), which can be a doped optical fiber amplifier, a solid-state bulk amplifier, and/or a semiconductor optical amplifier. The amplifiers are configured to receive and amplify light signals with desired gains.
  • LiDAR system 300 further comprises a transmitter 320.
  • Laser source 310 provides laser light (e.g., in the form of a laser beam) to transmitter 320.
  • the laser light provided by laser source 310 can be amplified laser light with a predetermined or controlled wavelength, pulse repetition rate, and/or power level.
  • Transmitter 320 receives the laser light from laser source 310 and transmits the laser light to steering mechanism 340 with low divergence.
  • transmitter 320 can include, for example, optical components (e.g., lens, fibers, mirrors, etc.) for transmitting laser beams to a field-of-view (FOV) directly or via steering mechanism 340. While FIG. 3 illustrates transmitter 320 and steering mechanism 340 as separate components, they may be combined or integrated as one system in some embodiments. Steering mechanism 340 is described in more detail below.
  • transmitter 320 often comprises a collimating lens configured to collect the diverging laser beams and produce more parallel optical beams with reduced or minimum divergence.
  • the collimated optical beams can then be further directed through various optics such as mirrors and lens.
  • a collimating lens may be, for example, a single plano-convex lens or a lens group.
  • the collimating lens can be configured to achieve any desired properties such as the beam diameter, divergence, numerical aperture, focal length, or the like.
  • a beam propagation ratio or beam quality factor (also referred to as the M 2 factor) is used for measurement of laser beam quality.
  • the M 2 factor represents a degree of variation of a beam from an ideal Gaussian beam.
  • the M 2 factor reflects how well a collimated laser beam can be focused on a small spot, or how well a divergent laser beam can be collimated. Therefore, laser source 310 and/or transmitter 320 can be configured to meet, for example, a scan resolution requirement while maintaining the desired M 2 factor.
  • One or more of the light beams provided by transmitter 320 are scanned by steering mechanism 340 to a FOV.
  • Steering mechanism 340 scans light beams in multiple dimensions (e.g., in both the horizontal and vertical dimension) to facilitate LiDAR system 300 to map the environment by generating a 3D point cloud.
  • the laser light scanned to an FOV may be scattered or reflected by an object in the FOV. At least a portion of the scattered or reflected light returns to LiDAR system 300.
  • FIG. 3 further illustrates an optical receiver and light detector 330 configured to receive the return light.
  • Optical receiver and light detector 330 comprises an optical receiver that is configured to collect the return light from the FOV.
  • the optical receiver can include optics (e.g., lens, fibers, mirrors, etc.) for receiving, redirecting, focus, amplifying, and/or filtering return light from the FOV.
  • optics e.g., lens, fibers, mirrors, etc.
  • the optical receiver often includes a collection lens (e.g., a single plano-convex lens or a lens group) to collect and/or focus the collected return light onto a light detector.
  • a light detector detects the return light focused by the optical receiver and generates current and/or voltage signals proportional to the incident intensity of the return light. Based on such current and/or voltage signals, the depth information of the object in the FOV can be derived.
  • One exemplary method for deriving such depth information is based on the direct TOF (time of flight), which is described in more detail below.
  • a light detector may be characterized by its detection sensitivity, quantum efficiency, detector bandwidth, linearity, signal to noise ratio (SNR), overload resistance, interference immunity, etc.
  • SNR signal to noise ratio
  • the light detector can be configured or customized to have any desired characteristics.
  • optical receiver and light detector 330 can be configured such that the light detector has a large dynamic range while having a good linearity.
  • the light detector linearity indicates the detector’s capability of maintaining linear relationship between input optical signal power and the detector’s output.
  • a detector having good linearity can maintain a linear relationship over a large dynamic input optical signal range.
  • a light detector structure can be a PIN based structure, which has a undoped intrinsic semiconductor region (i.e., an “i” region) between a p- type semiconductor and an n-type semiconductor region.
  • Other light detector structures comprise, for example, a APD (avalanche photodiode) based structure, a PMT (photomultiplier tube) based structure, a SiPM (Silicon photomultiplier) based structure, a SPAD (single-photon avalanche diode) base structure, and/or quantum wires.
  • APD active photodiode
  • PMT photomultiplier tube
  • SiPM Silicon photomultiplier
  • SPAD single-photon avalanche diode
  • quantum wires for material systems used in a light detector, Si, InGaAs, and/or Si/Ge based materials can be used. It is understood that many other detector structures and/or material systems can be used in optical receiver and light detector 330.
  • a light detector e.g., an APD based detector
  • APD may have an internal gain such that the input signal is amplified when generating an output signal.
  • noise may also be amplified due to the light detector’s internal gain.
  • Common types of noise include signal shot noise, dark current shot noise, thermal noise, and amplifier noise (TIA).
  • optical receiver and light detector 330 may include a pre-amplifier that is a low noise amplifier (LNA).
  • the pre-amplifier may also include a TIA-transimpedance amplifier, which converts a current signal to a voltage signal.
  • LNA low noise amplifier
  • NEP input equivalent noise or noise equivalent power
  • the NEP of a light detector specifies the power of the weakest signal that can be detected and therefore it in turn specifies the maximum range of a LiDAR system.
  • various light detector optimization techniques can be used to meet the requirement of LiDAR system 300. Such optimization techniques may include selecting different detector structures, materials, and/or implement signal processing techniques (e.g., filtering, noise reduction, amplification, or the like).
  • signal processing techniques e.g., filtering, noise reduction, amplification, or the like.
  • coherent detection can also be used for a light detector.
  • Coherent detection allows for detecting amplitude and phase information of the received light by interfering the received light with a local oscillator. Coherent detection can improve detection sensitivity and noise immunity.
  • FIG. 3 further illustrates that LiDAR system 300 comprises steering mechanism 340.
  • steering mechanism 340 directs light beams from transmitter 320 to scan an FOV in multiple dimensions.
  • a steering mechanism is referred to as a raster mechanism or a scanning mechanism. Scanning light beams in multiple directions (e.g., in both the horizontal and vertical directions) facilitates a LiDAR system to map the environment by generating an image or a 3D point cloud.
  • a steering mechanism can be based on mechanical scanning and/or solid-state scanning. Mechanical scanning uses rotating mirrors to steer the laser beam or physically rotate the LiDAR transmitter and receiver (collectively referred to as transceiver) to scan the laser beam.
  • Solid-state scanning directs the laser beam to various positions through the FOV without mechanically moving any macroscopic components such as the transceiver.
  • Solid- state scanning mechanisms include, for example, optical phased arrays based steering and flash LiDAR based steering. In some embodiments, because solid-state scanning mechanisms do not physically move macroscopic components, the steering performed by a solid-state scanning mechanism may be referred to as effective steering.
  • a LiDAR system using solid-state scanning may also be referred to as a non-mechanical scanning or simply non-scanning LiDAR system (a flash LiDAR system is an exemplary non-scanning LiDAR system).
  • Steering mechanism 340 can be used with the transceiver (e.g., transmitter 320 and optical receiver and light detector 330) to scan the FOV for generating an image or a 3D point cloud.
  • a two-dimensional mechanical scanner can be used with a single-point or several single-point transceivers.
  • a single-point transceiver transmits a single light beam or a small number of light beams (e.g., 2-8 beams) to the steering mechanism.
  • a two-dimensional mechanical steering mechanism comprises, for example, polygon mirror(s), oscillating mirror(s), rotating prism(s), rotating tilt mirror surface(s), or a combination thereof.
  • steering mechanism 340 may include non mechanical steering mechanism(s) such as solid-state steering mechanism(s).
  • steering mechanism 340 can be based on tuning wavelength of the laser light combined with refraction effect, and/or based on reconfigurable grating/phase array.
  • steering mechanism 340 can use a single scanning device to achieve two-dimensional scanning or two devices combined to realize two-dimensional scanning.
  • a one-dimensional mechanical scanner can be used with an array or a large number of single-point transceivers.
  • the transceiver array can be mounted on a rotating platform to achieve 360-degree horizontal field of view.
  • a static transceiver array can be combined with the one dimensional mechanical scanner.
  • a one-dimensional mechanical scanner comprises polygon mirror(s), oscillating mirror(s), rotating prism(s), rotating tilt mirror surface(s) for obtaining a forward-looking horizontal field of view. Steering mechanisms using mechanical scanners can provide robustness and reliability in high volume production for automotive applications.
  • a two-dimensional transceiver can be used to generate a scan image or a 3D point cloud directly.
  • a stitching or micro shift method can be used to improve the resolution of the scan image or the field of view being scanned.
  • signals generated at one direction e.g., the horizontal direction
  • signals generated at the other direction e.g., the vertical direction
  • steering mechanism 340 comprise one or more optical redirection elements (e.g., mirrors or lens) that steer return light signals (e.g., by rotating, vibrating, or directing) along a receive path to direct the return light signals to optical receiver and light detector 330.
  • the optical redirection elements that direct light signals along the transmitting and receiving paths may be the same components (e.g., shared), separate components (e.g., dedicated), and/or a combination of shared and separate components. This means that in some cases the transmitting and receiving paths are different although they may partially overlap (or in some cases, substantially overlap).
  • LiDAR system 300 further comprises control circuitry 350.
  • Control circuitry 350 can be configured and/or programmed to control various parts of the LiDAR system 300 and/or to perform signal processing.
  • control circuitry 350 can be configured and/or programmed to perform one or more control operations including, for example, controlling laser source 310 to obtain desired laser pulse timing, repetition rate, and power; controlling steering mechanism 340 (e.g., controlling the speed, direction, and/or other parameters) to scan the FOV and maintain pixel registration/alignment; controlling optical receiver and light detector 330 (e.g., controlling the sensitivity, noise reduction, filtering, and/or other parameters) such that it is an optimal state; and monitoring overall system health/status for functional safety.
  • controlling laser source 310 to obtain desired laser pulse timing, repetition rate, and power
  • controlling steering mechanism 340 e.g., controlling the speed, direction, and/or other parameters
  • controlling optical receiver and light detector 330 e.g., controlling the sensitivity, noise reduction, filtering, and/or other parameters
  • Control circuitry 350 can also be configured and/or programmed to perform signal processing to the raw data generated by optical receiver and light detector 330 to derive distance and reflectance information, and perform data packaging and communication to vehicle perception and planning system 220 (shown in FIG. 2). For example, control circuitry 350 determines the time it takes from transmitting a light pulse until a corresponding return light pulse is received; determines when a return light pulse is not received for a transmitted light pulse; determines the direction (e.g., horizontal and/or vertical information) for a transmitted/retum light pulse; determines the estimated range in a particular direction; and/or determines any other type of data relevant to LiDAR system 300.
  • direction e.g., horizontal and/or vertical information
  • LiDAR system 300 can be disposed in a vehicle, which may operate in many different environments including hot or cold weather, rough road conditions that may cause intense vibration, high or low humidifies, dusty areas, etc. Therefore, in some embodiments, optical and/or electronic components of LiDAR system 300 (e.g., optics in transmitter 320, optical receiver and light detector 330, and steering mechanism 340) are disposed or configured in such a manner to maintain long term mechanical and optical stability. For example, components in LiDAR system 300 may be secured and sealed such that they can operate under all conditions a vehicle may encounter.
  • optical and/or electronic components of LiDAR system 300 e.g., optics in transmitter 320, optical receiver and light detector 330, and steering mechanism 340
  • components in LiDAR system 300 may be secured and sealed such that they can operate under all conditions a vehicle may encounter.
  • an anti-moisture coating and/or hermetic sealing may be applied to optical components of transmitter 320, optical receiver and light detector 330, and steering mechanism 340 (and other components that are susceptible to moisture).
  • housing(s), enclosure(s), and/or window can be used in LiDAR system 300 for providing desired characteristics such as hardness, ingress protection (IP) rating, self-cleaning capability, resistance to chemical and resistance to impact, or the like.
  • IP ingress protection
  • efficient and economical methodologies for assembling LiDAR system 300 may be used to meet the LiDAR operating requirements while keeping the cost low.
  • LiDAR system 300 can include other functional units, blocks, or segments, and can include variations or combinations of these above functional units, blocks, or segments.
  • LiDAR system 300 can also include other components not depicted in FIG. 3, such as power buses, power supplies, LED indicators, switches, etc. Additionally, other connections among components may be present, such as a direct connection between light source 310 and optical receiver and light detector 330 so that light detector 330 can accurately measure the time from when light source 310 transmits a light pulse until light detector 330 detects a return light pulse. [0086] These components shown in FIG.
  • These communications paths represent communication (bidirectional or unidirectional) among the various LiDAR system components but need not be physical components themselves.
  • the communications paths can be implemented by one or more electrical wires, busses, or optical fibers
  • the communication paths can also be wireless channels or open-air optical paths so that no physical communication medium is present.
  • communication path 314 includes one or more optical fibers
  • communication path 352 represents an optical path
  • communication paths 312, 322, 342, and 362 are all electrical wires that carry electrical signals.
  • the communication paths can also include more than one of the above types of communication mediums (e.g., they can include an optical fiber and an optical path, or one or more optical fibers and one or more electrical wires).
  • an exemplary LiDAR system 500 includes a laser light source (e.g., a fiber laser), a steering system (e.g., a system of one or more moving mirrors), and a light detector (e.g., a photon detector with one or more optics).
  • a laser light source e.g., a fiber laser
  • a steering system e.g., a system of one or more moving mirrors
  • a light detector e.g., a photon detector with one or more optics.
  • LiDAR system 500 can be implemented using, for example, LiDAR system 300 described above.
  • LiDAR system 500 transmits a light pulse 502 along light path 504 as determined by the steering system of LiDAR system 500.
  • light pulse 502 which is generated by the laser light source, is a short pulse of laser light.
  • the signal steering system of the LiDAR system 500 is a pulsed-signal steering system.
  • LiDAR systems can operate by generating, transmitting, and detecting light signals that are not pulsed and derive ranges to an object in the surrounding environment using techniques other than time-of-flight.
  • some LiDAR systems use frequency modulated continuous waves (i.e., “FMCW”).
  • FMCW frequency modulated continuous waves
  • any of the techniques described herein with respect to time-of-flight based systems that use pulsed signals also may be applicable to LiDAR systems that do not use one or both of these techniques.
  • FIG. 5A e.g., illustrating a time-of-flight LiDAR system that uses light pulses
  • light pulse 502 scatters or reflects to generate a return light pulse 508.
  • Return light pulse 508 may return to system 500 along light path 510.
  • the time from when transmitted light pulse 502 leaves LiDAR system 500 to when return light pulse 508 arrives back at LiDAR system 500 can be measured (e.g., by a processor or other electronics, such as control circuitry 350, within the LiDAR system).
  • This time-of-flight combined with the knowledge of the speed of light can be used to determine the range/di stance from LiDAR system 500 to the portion of object 506 where light pulse 502 scattered or reflected.
  • LiDAR system 500 scans the external environment (e.g., by directing light pulses 502, 522, 526, 530 along light paths 504,
  • LiDAR system 500 receives return light pulses 508, 542, 548 (which correspond to transmitted light pulses 502, 522, 530, respectively). Return light pulses 508, 542, and 548 are generated by scattering or reflecting the transmitted light pulses by one of objects 506 and 514. Return light pulses 508, 542, and 548 may return to LiDAR system 500 along light paths 510, 544, and 546, respectively.
  • the external environment within the detectable range e.g., the field of view between path 504 and 532, inclusively
  • the external environment within the detectable range can be precisely mapped or plotted (e.g., by generating a 3D point cloud or images).
  • a corresponding light pulse is not received for a particular transmitted light pulse, then it may be determined that there are no objects within a detectable range of LiDAR system 500 (e.g., an object is beyond the maximum scanning distance of LiDAR system 500). For example, in FIG. 5B, light pulse 526 may not have a corresponding return light pulse (as illustrated in FIG. 5C) because light pulse 526 may not produce a scattering event along its transmission path 528 within the predetermined detection range.
  • LiDAR system 500 or an external system in communication with LiDAR system 500 (e.g., a cloud system or service), can interpret the lack of return light pulse as no object being disposed along light path 528 within the detectable range of LiDAR system 500.
  • light pulses 502, 522, 526, and 530 can be transmitted in any order, serially, in parallel, or based on other timings with respect to each other.
  • FIG. 5B depicts transmitted light pulses as being directed in one dimension or one plane (e.g., the plane of the paper)
  • LiDAR system 500 can also direct transmitted light pulses along other dimension(s) or plane(s).
  • LiDAR system 500 can also direct transmitted light pulses in a dimension or plane that is perpendicular to the dimension or plane shown in FIG. 5B, thereby forming a 2-dimensional transmission of the light pulses.
  • This 2-dimensional transmission of the light pulses can be point-by-point, line-by-line, all at once, or in some other manner.
  • a point cloud or image from a 1 -dimensional transmission of light pulses (e.g., a single horizontal line) can generate 2-dimensional data (e.g., (1) data from the horizontal transmission direction and (2) the range or distance to objects).
  • a point cloud or image from a 2- dimensional transmission of light pulses can generate 3-dimensional data (e.g., (1) data from the horizontal transmission direction, (2) data from the vertical transmission direction, and (3) the range or distance to objects).
  • a LiDAR system performing an «-dimensional transmission of light pulses generates (n+ 1) dimensional data.
  • the LiDAR system can measure the depth of an object or the range/di stance to the object, which provides the extra dimension of data. Therefore, a 2D scanning by a LiDAR system can generate a 3D point cloud for mapping the external environment of the LiDAR system.
  • the density of a point cloud refers to the number of measurements (data points) per area performed by the LiDAR system.
  • a point cloud density relates to the LiDAR scanning resolution.
  • a larger point cloud density, and therefore a higher resolution, is desired at least for the region of interest (ROI).
  • the density of points in a point cloud or image generated by a LiDAR system is equal to the number of pulses divided by the field of view.
  • the field of view can be fixed. Therefore, to increase the density of points generated by one set of transmission-receiving optics (or transceiver optics), the LiDAR system may need to generate a pulse more frequently. In other words, a light source with a higher pulse repetition rate (PRR) is needed.
  • PRR pulse repetition rate
  • the farthest distance that the LiDAR system can detect may be limited. For example, if a return signal from a distant object is received after the system transmits the next pulse, the return signals may be detected in a different order than the order in which the corresponding signals are transmitted, thereby causing ambiguity if the system cannot correctly correlate the return signals with the transmitted signals.
  • the farthest distance the LiDAR system can detect may be 300 meters and 150 meters for 500 kHz and 1 MHz, respectively.
  • the density of points of a LiDAR system with 500 kHz repetition rate is half of that with 1 MHz.
  • this example demonstrates that, if the system cannot correctly correlate return signals that arrive out of order, increasing the repetition rate from 500 kHz to 1 MHz (and thus improving the density of points of the system) may reduce the detection range of the system.
  • Various techniques are used to mitigate the tradeoff between higher PRR and limited detection range. For example, multiple wavelengths can be used for detecting objects in different ranges. Optical and/or signal processing techniques are also used to correlate between transmitted and return light signals.
  • Various systems, apparatus, and methods described herein may be implemented using digital circuitry, or using one or more computers using well-known computer processors, memory units, storage devices, computer software, and other components.
  • a computer includes a processor for executing instructions and one or more memories for storing instructions and data.
  • a computer may also include, or be coupled to, one or more mass storage devices, such as one or more magnetic disks, internal hard disks and removable disks, magneto optical disks, optical disks, etc.
  • Various systems, apparatus, and methods described herein may be implemented using computers operating in a client-server relationship.
  • the client computers are located remotely from the server computers and interact via a network.
  • the client-server relationship may be defined and controlled by computer programs running on the respective client and server computers.
  • client computers can include desktop computers, workstations, portable computers, cellular smartphones, tablets, or other types of computing devices.
  • Various systems, apparatus, and methods described herein may be implemented using a computer program product tangibly embodied in an information carrier, e.g., in a non-transitory machine-readable storage device, for execution by a programmable processor; and the method processes and steps described herein, including one or more of the steps of FIG. 1 IB, may be implemented using one or more computer programs that are executable by such a processor.
  • a computer program is a set of computer program instructions that can be used, directly or indirectly, in a computer to perform a certain activity or bring about a certain result.
  • a computer program can be written in any form of programming language, including compiled or interpreted languages, and it can be deployed in any form, including as a stand-alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment.
  • Apparatus 600 comprises a processor 610 operatively coupled to a persistent storage device 620 and a main memory device 630.
  • Processor 610 controls the overall operation of apparatus 600 by executing computer program instructions that define such operations.
  • the computer program instructions may be stored in persistent storage device 620, or other computer-readable medium, and loaded into main memory device 630 when execution of the computer program instructions is desired.
  • processor 610 may be used to implement one or more components and systems described herein, such as control circuitry 350 (shown in FIG. 3), vehicle perception and planning system 220 (shown in FIG. 2), and vehicle control system 280 (shown in FIG. 2).
  • the method steps of FIG. 1 IB can be defined by the computer program instructions stored in main memory device 630 and/or persistent storage device 620 and controlled by processor 610 executing the computer program instructions.
  • the computer program instructions can be implemented as computer executable code programmed by one skilled in the art to perform an algorithm defined by the method steps of FIG. 1 IB.
  • the processor 610 executes an algorithm defined by the methods of FIGS. 3-5 and 1 IB.
  • Apparatus 600 also includes one or more network interfaces 680 for communicating with other devices via a network.
  • Apparatus 600 may also include one or more input/output devices 690 that enable user interaction with apparatus 600 (e.g., display, keyboard, mouse, speakers, buttons, etc.).
  • Processor 610 may include both general and special purpose microprocessors and may be the sole processor or one of multiple processors of apparatus 600.
  • Processor 610 may comprise one or more central processing units (CPUs), and one or more graphics processing units (GPUs), which, for example, may work separately from and/or multi-task with one or more CPUs to accelerate processing, e.g., for various image processing applications described herein.
  • CPUs central processing units
  • GPUs graphics processing units
  • Processor 610, persistent storage device 620, and/or main memory device 630 may include, be supplemented by, or incorporated in, one or more application-specific integrated circuits (ASICs) and/or one or more field programmable gate arrays (FPGAs).
  • ASICs application-specific integrated circuits
  • FPGAs field programmable gate arrays
  • Persistent storage device 620 and main memory device 630 each comprise a tangible non- transitory computer readable storage medium.
  • Persistent storage device 620, and main memory device 630 may each include high-speed random access memory, such as dynamic random access memory (DRAM), static random access memory (SRAM), double data rate synchronous dynamic random access memory (DDR RAM), or other random access solid state memory devices, and may include non-volatile memory, such as one or more magnetic disk storage devices such as internal hard disks and removable disks, magneto-optical disk storage devices, optical disk storage devices, flash memory devices, semiconductor memory devices, such as erasable programmable read-only memory (EPROM), electrically erasable programmable read only memory (EEPROM), compact disc read-only memory (CD-ROM), digital versatile disc read-only memory (DVD-ROM) disks, or other non-volatile solid state storage devices.
  • DRAM dynamic random access memory
  • SRAM static random access memory
  • DDR RAM double data rate synchronous dynamic random access memory
  • non-volatile memory such as one or more magnetic disk storage devices such as internal hard disks and removable disks, magneto-optical disk
  • Input/output devices 690 may include peripherals, such as a printer, scanner, display screen, etc.
  • input/output devices 690 may include a display device such as a cathode ray tube (CRT), plasma or liquid crystal display (LCD) monitor for displaying information to a user, a keyboard, and a pointing device such as a mouse or a trackball by which the user can provide input to apparatus 600.
  • a display device such as a cathode ray tube (CRT), plasma or liquid crystal display (LCD) monitor for displaying information to a user, a keyboard, and a pointing device such as a mouse or a trackball by which the user can provide input to apparatus 600.
  • CTR cathode ray tube
  • LCD liquid crystal display
  • LiDAR system 300 may utilize one or more neural networks or other deep-learning techniques performed by processor 610 or other systems or apparatuses discussed herein.
  • FIG. 6 is a high-level representation of some of the components of such a computer for illustrative purposes.
  • FIG. 7 illustrates a simplified LiDAR scanning system 700, according to some embodiments.
  • system 700 comprises a light source 702, an optical coupler 704, a transmitter 706, optical fiber-based light delivery media 703 and 705, a galvanometer mirror 708, a light steering device 710, a collection lens 718, a receiver 720, an optical fiber- based light delivery medium 721, and a light detector 722.
  • light source 702 includes a laser source that can provide one or more transmission light beams. Typical operating wavelengths of light source 702 include, for example, about 850 nm, about 905 nm, about 940 nm, about 1064 nm, and about 1550 nm.
  • the one or more transmission light beams are directed to optical coupler 704 via optical fiber-based light delivery medium 703, which can be, for example, a single mode optical fiber.
  • An optic coupler is an optical device capable of connecting one or more fiber ends in order to allow the transmission of light in multiple paths.
  • the optical coupler is capable of combining two or more inputs into a single output and also dividing a single input into two or more outputs.
  • An optical coupler is optional in some embodiments.
  • the transmission light beams can be delivered from optical coupler 704 to transmitter 706 via another optical fiber-based light delivery medium 705 (e.g., an optical fiber).
  • transmitter 706 comprises multiple transmitter channels (e.g., 4 or more channels).
  • the transmitter channels include multiple transmission optical fibers that can provide transmission light beams 707.
  • the transmission optical fibers may form a transmission fiber array, in which the optical fibers of different channels are disposed at a predetermined pitch from one another.
  • the transmission light beams 707 can be collimated laser beams formed by using a collimation lens (not shown).
  • transmission light beams 707 are directed to galvanometer mirror 708.
  • Mirror 708 is controlled to oscillate about an axis between two predefined angular positions. The oscillation of the mirror 708 facilitates scanning light along one dimension (e.g., the vertical dimension) of a FOV.
  • Mirror 708 reflects transmission light beams 707 to form transmission light beams 709, which are directed toward multiple-facet light steering device 710.
  • multiple-facet light steering device 710 comprises a top surface, a bottom surface, and multiple facets 725 that reflect light.
  • a facet 725 is also referred to as a side surface of device 710.
  • a facet 725 is disposed between the top surface and the bottom surface of device 710.
  • FIG. 7 One embodiment of the multiple-facet light steering device 710 is shown in FIG. 7, where the device has a polygon-shaped top and bottom surfaces (e.g., rectangle shaped, pentagon-shaped, hexagon-shaped, octagon-shaped, or the like) and multiple trapezoidal-shaped facets 725.
  • Facets 725 are reflective surfaces (e.g., mirrors) and thus multiple-facet light steering device 710 can be a polygon mirror.
  • facets 725 reflect transmission light beams 709 to form transmission light beams 711, which illuminate objects in a field-of-view (FOV).
  • Light steering device 710 is configured to rotate about an axis 724. Therefore, each facet of light steering device 710 takes turns to reflect light.
  • oscillation means continuously moving back and forth in two opposite directions (e.g., clockwise and counterclockwise) within a predetermined angular range (e.g., +/- 20 degrees, +/-40 degrees, etc.) in a periodical or non-periodical manner.
  • Rotation means continuously moving in only one direction for at least 360 degrees.
  • multiple transmission light beams 709 are reflected by a same facet of light steering device 710 to form multiple transmission light beams 711.
  • multiple transmission light beams 709 are reflected by different facets of light steering device 710.
  • transmission light beams 711 travel to illuminate one or more objects in an FOV (not shown)
  • at least a portion of transmission light beams 711 is reflected or scattered to form return light 713.
  • Return light 713 is redirected (e.g., reflected) by light steering device 710 to form return light 715, which is directed toward galvanometer mirror 708.
  • Return light 715 is redirected (e.g., reflected) by galvanometer mirror 708 to form return light 717, which is collected by collection lens 718.
  • Collection lens 718 directs the collected return light to a receiver 720 of the LiDAR system 700.
  • Receiver 720 can have multiple receiving channels corresponding to the multiple transmitter channels.
  • Receiver 720 includes a receiving fiber array.
  • Receiver 720 directs the received return light to a light detector 722 via an optical fiber 721 and/or free-space optical components (not shown).
  • multiple-facet light steering device 710 and galvanometer mirror 708 are used for both transmitting light beams to illuminate objects in an FOV and for receiving and redirecting return light to a receiver of the LiDAR system 700.
  • return light 713 is formed by scattering and/or reflecting multiple transmission light beams 711. Return light 713 can be reflected by a same facet of light steering device 710 at any particular time point. In some embodiments, return light 713 can be reflected by different facets of light steering device 710.
  • Embodiments of LiDAR system 700 and its light steering device 710 shown in FIG. 7 are described in more detail in U.S. non-provisional patent application No. 16/682,774, filed on November 14, 2018, entitled “LIDAR SYSTEMS THAT USE A MULTI-FACET MIRROR”, the content of which is incorporated by reference in it is entirety for all purposes.
  • facets 725 of light steering device 710 have 90-degree or non-90 degree tile angles.
  • a tilt angle is an angle between the normal direction of a facet and the rotational axis of the multiple-facet light steering device. Therefore, for a facet of device 710, the tilt angle is between the direction perpendicular to the facet and rotational axis 724.
  • the tilt angle of a facet 725 can be 90 degrees or non-90 degrees.
  • FIGs. 7 and 8 illustrate a multiple- facet light steering device 710 that includes facets having non-90 degree tilt angles.
  • light steering device 710 can rotate about axis 724.
  • Each facet 725 of light steering device 710 has a tilt angle that is not 90-degrees, thereby forming wedged facets. Therefore, a cross-section of the light steering device 710 may have a trapezoidal shape.
  • FIG. 8 is a perspective view of a simplified LiDAR scanning system 800, according to some embodiments.
  • LiDAR scanning system 800 is similar to system 700 described above.
  • System 800 also includes a multiple-facet light steering device 810 and a galvanometer mirror 808, similar to light steering device 710 and mirror 708, respectively.
  • a transmitter 806 provides multiple transmission light beams 807.
  • transmitter 806 includes four or more transmitter channels providing four or more transmission light beams.
  • the oscillation of mirror 808 about axis 834 thus enables the scanning of the transmission light beams 807 in one dimension (e.g., the vertical dimension) of an FOV.
  • Galvanometer mirror 808 directs transmission light beams 807 toward light steering device 810, which is configured to rotate about an axis 824.
  • the rotation of the light steering device 810 can thus scan the transmission light beams in another dimension (e.g., the horizontal dimension) of the FOV.
  • multiple transmission light beams 811 e.g., four beams
  • the transmission light beams 811 travel through a window 835.
  • Return light also travels through window 835 and be directed to the receiver by using light steering device 810 and galvanometer mirror 808.
  • window 835 can also be configured to (e.g., coated) filter out light having undesired wavelengths.
  • one or more of the components of the transmitter and the receiver of the LiDAR system 800 are disposed at least partially within a transceiver housing 830.
  • LiDAR scanning systems 700 or 800 are configured to meet one or more LiDAR scanning requirements.
  • a LiDAR system is configured to scan one or more regions of interest (ROIs). The requirements for scanning inside an ROI may be different from those for scanning outside of an ROI.
  • ROIs regions of interest
  • scanning inside an ROI may be performed at a higher density or resolution and therefore, the scanlines of the resulting LiDAR scanning pattern inside the ROI may have a finer pitch.
  • the galvanometer mirror may be configured to move at a smaller angular increment or step.
  • a LiDAR system may be required to scan a distance up to 250 meter assuming the object reflection rate is about 10%, to be able to scan a horizontal FOV of about or greater than 20 degrees and a vertical FOV of about or greater than 4-5 degrees, and to have an angular resolution of about or less than 0.1 degrees inside the ROI (in both horizontal and vertical dimensions).
  • a LiDAR system may be required to scan a distance up to 150 meter (assuming the object reflection rate is about 10%), to be able to scan a horizontal FOV of about or greater than 120 degrees and a vertical FOV of about or greater than 25 degrees, and to have an angular resolution of about or less than 0.25 degrees (in both horizontal and vertical dimensions). Therefore, compared to scanning outside an ROI, scanning inside an ROI typically requires the capabilities to achieve a further distance, a smaller FOV coverage, and/or a higher resolution.
  • a LiDAR system is not configured to scan an ROI because, for example, there may be no ROI to be scanned.
  • a LiDAR system that is not configured to scan an ROI may have different scanning requirements than a system that is configured to scan an ROI.
  • the LiDAR system may be required to scan a distance of about 200 meter (assuming the object reflection rate is about 10%), to have a horizontal FOV of about or greater than 120 degrees and a vertical FOV of about or greater than 25 degrees, to have an angular resolution of about or less than 0.2 degrees (in both horizontal and vertical dimensions), and to have a distance accuracy of about or less than 5 cm.
  • a LiDAR scanning system e.g., systems 700 and 800 are configured to scan the FOV and generate scanlines at a frame rate about or greater than 15 frames per second.
  • the frame rate is related to the total number of scanlines a LiDAR system generates in a second, as shown in the following equation [1]
  • the number of scanlines per frame (denoted by NFR) is 240.
  • the number of scanlines per frame is 160.
  • increasing the frame rate decreases the resolution in a single frame (e.g., each frame has a smaller number of scanlines).
  • the frame rate may need to be reduced (and thus the resulting LiDAR image data is refreshed less frequently), again assuming that the total number of scanlines remains the same.
  • the total number of scanlines that a LiDAR system can generate in one second relates to the rotational speed of the light steering device, the number of facets of the light steering device, and the number of transmitter channels, as defined the following equation [2]
  • the LiDAR system e.g., system 700 and 800
  • the LiDAR system has a 5-facet polygon mirror that rotates at 7200 rounds per minute (RPM) and has 4 transmitter channels (e.g., for scanning 4 transmission light beams in parallel)
  • the total number of scanlines per second is 2400.
  • increasing the rotational speed of the light steering device increases the total number of scanlines per second. But a higher rotational speed of the light steering device causes a higher energy consumption, greater acoustic noise, and reduced reliability and useful lifetime of the light steering device.
  • a LiDAR application may have a requirement of a minimum number of scanlines per frame that the LiDAR should provide.
  • the minimum number of scanlines per frame can be determined based on the following equation [3]
  • Angleoutside ROI denotes the angular scanning range in the vertical dimension outside an ROI (if any).
  • the galvanometer mirror can be configured to move within an angular scanning range (e.g., 25 degrees) outside an ROI and move within another angular scanning range (e.g., 4-5 degrees) inside the ROI (if any).
  • Pitchoutside ROI denotes the scanline pitch when the galvanometer mirror moves outside an ROI (if any); and Pitchinside ROI denotes the scanning line pitch when the galvanometer mirror moves inside an ROI (if any).
  • the scanline pitch generally relates to the step size when the galvanometer mirror moves.
  • the relation between the scanline pitch and the step size of the galvanometer mirror can be modeled using a linear function, a non-linear function, or any other suitable functions/models (e.g., a machine-learning based model).
  • the scanline pitch may be about 0.2 degrees, corresponding generally to an angular movement step size of about 0.1 degrees.
  • the relation between the scanline pitch and the step size of the angular movement of the galvanometer mirror can also be determined by taking into account of the scanline interlacing across the multiple transmitter channels.
  • the scanline pitch also indicates that within the amount of time the galvanometer mirror moves one step size (e.g., 0.2 degrees), the light steering device completes a horizontal scan.
  • Pitchoutside ROI e.g., 0.2 degrees
  • Pitchinside ROI e.g., 0.1 degrees
  • the galvanometer mirror moves at a smaller step size, thereby facilitating the LiDAR system to generate a higher number of scanlines within the ROI.
  • the total angular scanning range is 25 degrees
  • Angleoutside ROI is about 20 degrees
  • Pitchoutside ROI is about 0.2 degrees
  • Angleinside ROI is about 5 degrees
  • Pitchinside ROI is about 0.1 degrees
  • the minimum number of lines per frame can be calculated to be about 150.
  • redundant scanlines may result when the scan moves into and out from an ROI.
  • the galvanometer mirror oscillates to scan transmission light beams in the vertical dimension.
  • the ROI in the vertical dimension may have an angular range of about 4-5 degrees.
  • the angular range outside an ROI may have a vertical range of about 25 degrees.
  • the ROI may be positioned in the middle of the galvanometer mirror’s scanning range in the vertical dimension.
  • the galvanometer mirror may start from one end position, move outside the ROI first, move into the ROI, and then move outside of the ROI again toward the other end position.
  • duplicated or overlapping scanlines may result.
  • the duplicated or overlapping scanlines are often redundant scanlines, which are unnecessary.
  • the galvanometer mirror (e.g., mirror 708 or 808) oscillates between two angular positions to cover a vertical scanning range (e.g., about or greater than 25 degrees).
  • a vertical scanning range e.g., about or greater than 25 degrees.
  • the galvanometer mirror travels near one of the two angular positions (also referred to as the end positions or end angular positions), it typically maintains the same speed as it travels in other regions and then changes speed rapidly down to zero. It then reverses the direction of movement to oscillate back to the other end position.
  • This manner of movement inside the end-of-travel region oftentimes results in skipped or missing scanlines (as described in more detail below).
  • the skipped or missing scanlines may cause the data in the end-of-travel region to be less reliable and less useful. In some embodiments, these data may be unused or discarded. Thus, the scanning by the galvanometer mirror inside an end-of-travel region may be wasted.
  • a galvanometer mirror may be configured to operate in a flyback mode.
  • the flyback mode when the galvanometer mirror moves to an end angular position, it quickly retraces back to its starting angular position to continue scanning.
  • the galvanometer mirror facilitates scanning in one direction and not the reverse direction.
  • no scanning is performed.
  • the time that the galvanometer mirror retraces back to its starting position is referred as the flyback time. Data generated during the flyback time are unusable and are discarded. Therefore, the time spent by the galvanometer mirror to flyback is also wasted.
  • FIG. 9 illustrates sample transmission beams angular position patterns when the LiDAR system is not configured to scan an ROI.
  • the numbers in the tables of FIG. 9 represent angular positions of a transmission beams provided by multiple transmitter channels. Each of the angular positions in the tables of FIG. 9 corresponds to a scanline at that position.
  • FIG. 9 illustrates that skipped or missing scanlines may occur when the galvanometer mirror travels with the same speed inside and outside an end-of-travel region.
  • a LiDAR system can be configured to have multiple transmitter channels separated from each other by an angular channel spacing.
  • An angular channel spacing is a parameter that measures or represents the degree of angular separation between the light beams transmitted by the multiple transmitter channels to scan an FOV.
  • the adjacent transmitter channels are configured to have the proper angular channel spacing
  • the multiple transmission light beams are positioned sufficiently apart at a desired angular separation to scan different areas within an FOV, providing a good coverage of the scanned areas and improving the scan resolution and speed. Therefore, the scanning performance of the LiDAR system can be improved by using multiple transmitter channels configured with a proper angular channel spacing.
  • Table 900 of FIG. 9 shows one example of an angular position pattern of the transmission light beams provided by multiple transmitter channels.
  • the transmitter channels have an angular channel spacing of 3 degrees.
  • the pitch (e.g., the step size) of the galvanometer mirror movement is 4 degrees.
  • each of the transmission beam angular positions corresponds to a particular vertical angular position of the galvanometer mirror.
  • each transmission beam angular position shown in tables in FIG. 9 represents a scanline obtained by scanning a beam at a galvanometer mirror’s vertical angular position.
  • the step size of the galvanometer mirror movement also relates to the scanline pitch, which is the angular spacing between the two adjacent scanlines.
  • the transmission beam of the first transmission channel is at the 1 -degree position.
  • a scanline at this vertical angular position is generated when the light steering device rotates to scan the transmission light beam of the first transmitter channel in the horizontal dimension.
  • the galvanometer mirror moves to its next angular position by increasing one pitch or step size (e.g., 4 degrees) from its current angular position.
  • the transmission beam of the first transmitter channel moves to the 5-degree position.
  • a scanline at this vertical angular position is generated when the light steering device rotates to scan the transmission light beam of the first transmitter channel in the horizontal dimension.
  • the galvanometer mirror moves to its next angular position by increasing another step size from its current angular position.
  • the transmission light beam of the first transmitter channel moves to the 9- degree position.
  • a scanline at this vertical angular position is similarly generated based on the rotation of the light steering device.
  • the galvanometer mirror moves in this manner such that the transmission light beam of the first transmitter channel is vertically positioned at 1, 5, 9, 13, 17, etc. degrees. Scanlines at these vertical angular positions are generated when the light steering device rotates to scan the transmission light beam of the first transmitter channel in the horizontal dimension.
  • the transmission light beam of the second transmitter channel is angularly separated from that of the first transmitter channel (CH#1) by an angular channel spacing.
  • different transmitter channels comprise optical fibers that are placed at a predetermined pitch from one another, thereby enabling the transmission light beams from the different transmitter channels to be angularly separated.
  • the starting angular position of the transmission light beam of the second transmitter channel is the sum of the angular channel spacing (e.g., 3 degrees) and the starting position of transmission beam of the first transmitter channel (e.g., 1 degree). That is, the starting angular position of the transmission light beam of the second transmitter channel is at the 4-degree position.
  • the transmission light beam of the second transmitter channel also moves such that it is vertically positioned at 4, 8, 12, 16, 20, etc. degrees. Scanlines at these vertical angular positions are generated when the light steering device rotates to scan the transmission light beam of the second transmitter channel in the horizontal dimension.
  • the transmission light beam of the third transmitter channel (CH#3) is angularly separated from that of the second transmitter channel (CH#2) by an angular channel spacing (e.g., 3 degrees); and the transmission light beam of the fourth transmitter channel (CH#4) is angularly separated from that of the third transmitter channel (CH#3) by another angular channel spacing (e.g., 3 degrees).
  • the transmission light beam of the third transmitter channel moves such that it is vertically positioned at 7, 11, 15, 19, 23, etc. degrees.
  • the transmission light beam of the fourth transmitter channel moves such that it is vertically positioned at 10, 14, 18, 22, 26, etc. degrees. Scanlines corresponding to these vertical angular positions are generated when the light steering device rotates to scan the transmission light beams of the third and fourth transmitter channels in the horizontal dimension.
  • Table 900 in FIG. 9 thus show 12 angular positions (in the vertical direction) of a transmission light beam for each transmitter channel.
  • the scanning step size of the galvanometer mirror’s movement is configured to be the number of transmitter channels (e.g., 4 degrees) multiplied by the target scanline pitch (e.g., 1).
  • the transmitter channel spacing is configured to be an odd number (e.g., 3, 5, or 7 as shown in Table 900, 910, or 920) multiplied by the target scanline pitch.
  • the transmission light beams of the multiple transmitter channels should be positioned such that the resulting scanlines are evenly spaced with adjacent scanlines separated by a target scanline pitch.
  • Table 900 shows that scanline skipping (or hopping) may occur in the end-of-travel region of the galvanometer mirror.
  • the scan numbers listed in the left-most column correspond to the angular positions of the galvanometer mirror.
  • the scan numbers 1-3 correspond to angular positions in the end-of-travel region.
  • An end-of-travel region is where the galvanometer mirror begins to move away from, or approaches toward, one of its end positions.
  • the angular positions of a transmission light beam of a particular transmitter channel are evenly spaced (e.g., for CH#1, the angular positions are evenly spaced at 1, 5, 9, 13, 17, and so forth).
  • the angular positions of the transmission light beams should also be evenly distributed such that the resulting scanlines are evenly spaced by the target scanline pitch.
  • the angular positions of all transmission light beams in Table 900 should be evenly spaced at 1,
  • Table 900 shows that the angular positions of the transmission light beams are distributed evenly starting from the angular position at 7 degrees (the first angular position of the transmission light beam of the third transmitter channel). That is, starting from 7 degrees, the angular positions of the transmission light beams across all transmitter channels are evenly spaced at 7, 8, 9, 10, 11, 12, 13, etc. degrees. But before 7 degrees, several angular positions are skipped or missing, including positions at 2, 3, and 6 degrees. None of the four transmission light beams scans at these angular positions and thus there are no scanlines in the resulting LiDAR scan pattern. As a result, scanline skipping occurs.
  • Tables 910 and 920 further illustrate that more scanline skipping may occur if the angular channel spacing between the transmitter channels increases.
  • an angular channel spacing of 5 degrees is used; and in Table 920, an angular channel spacing of 7 degrees is used.
  • Table 910 and 920 also list the angular positions of the transmission light beams for all four transmitter channels at each scan number. The scan numbers correspond to the galvanometer mirror’s angular positions. The scanning step size of the galvanometer mirror remains the same (e.g., 4 degrees) in Tables 910 and 920. As shown in Table 910 of FIG.
  • the angular positions of the transmission light beams are distributed evenly (and so do the resulting scanlines) starting from the angular position at 13 degrees (scan number 4 of the first transmitter channel). That is, starting from 13 degrees, the angular positions of the transmission light beams are evenly spaced at 13, 14, 15, 16, 17, 18, etc. degrees across all four transmitter channels, resulting a target scanline pitch of 1 degree. But before the 13 -degree angular position, several angular positions are skipped, including positions at 2, 3, 4, 7, 8, and 12 degrees. None of the four transmission light beams scans at these angular positions and thus there are no scanlines in the resulting LiDAR scan pattern. Comparing Tables 910 and 900, more scanline skipping occurs when the angular channel spacing increases.
  • Table 920 shows that if an angular channel spacing increases to 7 degrees (e.g., the target scanline pitch multiplied by 7), the angular positions of the transmission light beams are distributed evenly starting from the angular position at 19 degrees (scan number 2 of the third transmitter channel). That is, starting from 19 degrees, the angular positions of the transmission light beams are evenly spaced at 19, 20, 21, 22, 23, 24, etc. degrees across the four transmitter channels. But more angular positions are skipped, including positions at 2, 3, 4, 6, 7, 10, 11, 14, and 18 degrees. None of the four transmission light beams scans at these angular positions and thus there are no scanlines in the resulting LiDAR scan pattern. Table 920 shows that if the angular channel spacing further increases, even more scanline skipping occurs.
  • the galvanometer mirror when it approaches the end position, it needs to reduce the speed to zero; and when it moves in the opposite direction, it needs to increase the speed from zero to a normal oscillation speed.
  • the rapid changing of oscillation speed inside the end-of-travel region results in scanline skipping.
  • the galvanometer mirror oscillates between two angular positions.
  • An end-of-travel region includes a first part within a first threshold angular distance of a first of the two angular positions and a second part within a second threshold angular distance of a second of the two angular positions.
  • the first and second threshold angular distances can be predetermined based on one or more parameters including, for example, the angular channel spacing, the target scanline pitch, the step size, etc.
  • FIG. 10 is a sample transmission beam angular position pattern when the LiDAR system is configured for scanning an ROI, according to some embodiments.
  • Table 1000 shown in FIG. 10 similar to Tables 900-920 described above, the scan numbers listed in the left-most column correspond to the angular positions of the galvanometer mirror. And the angular positions of the transmission light beams in all four transmitter channels (CH#1-CH#4) are listed for each of the scan numbers in Table 1000.
  • the target scanline pitch is configured to be 0.16 degrees outside an ROI and 0.07 degrees inside the ROI.
  • the angular channel spacing between the adjacent transmitter channels is an odd number (e.g., 7) multiplied by the target scanline pitch outside of the ROI. In one example, the angular channel spacing is 1.12 (i.e., 7*0.16) degrees.
  • the scanning step size of the galvanometer mirror outside the ROI can be configured as the total number of transmitter channels multiplied by the target scanline pitch. In an LiDAR system having 4 transmitter channels, the scanning step size outside the ROI is thus 0.64 (i.e., 4*0.16) degrees. Inside the ROI, the scanning step size is simply 0.07 degrees because there is no interlacing among 4 channels.
  • Table 1000 can be generated similarly as Tables 900, 910, or 920 except that different scanning step sizes are used when the galvanometer mirror scans outside the ROI and inside the ROI.
  • transmission light beams angular positions outside the ROI and inside the ROI are positioned at different pitches.
  • the scan numbers 1-14 correspond to angular positions of the galvanometer mirror when it moves to facilitate scanning outside an ROI
  • the scan numbers 15-30 correspond to angular positions of the galvanometer mirror when it moves to facilitate scanning inside the ROI
  • the scan numbers 31-50 correspond to angular positions of the galvanometer mirror when it moves to facilitate scanning outside the ROI again.
  • the galvanometer mirror moves to scan inside an ROI at scan number 15 and exits the scanning of the ROI at scan number 31.
  • scan numbers 1-25 correspond to angular positions of the galvanometer mirror when it moves in one direction (e.g., moving down) and scan numbers 26-50 correspond to angular positions of the galvanometer mirror when it moves in the other direction (e.g., moving up).
  • the scanlines corresponding to scan numbers 1-25 form one frame and the scanlines corresponding to scan numbers 26-50 form the next frame.
  • scanline skipping occurs near the end-of-travel region corresponding to scan numbers 1-6 and 44-50.
  • the angular positions of the transmission light beams are distributed evenly starting from the angular position at about 8.28 degrees. That is, starting from 7.8 degrees, the angular positions of the transmission light beams are evenly spaced at 8.28, 8.12, 7.96, 7.8 etc. degrees across all four transmitter channels with a target scanline pitch of 0.16 degrees. But several angular positions are skipped or missing, including positions at 11, 10.84, 10.68, 10.36, 10.2, 9.72, 9.56, 9.08, and 8.44 degrees.
  • FIG. 10 also shows redundant scanlines when the galvanometer mirror transits into or out of the ROI.
  • Table 10 shows redundant scanlines when the galvanometer mirror transits into or out of the ROI.
  • the angular positions of the transmission light beams across all four transmitter channels are evenly distributed with a target scanline pitch of 0.07 degrees.
  • the transmission light beam of the first transmitter channel (CH#1) is moved to angular positions at 2.2, 2.13, 2.06, 1.99, ... 1.15 degrees; the transmission light beam of the second transmitter channel continues the angular positions at 1.08, 1.01, 0.94, 0.87, ....
  • the transmission beam of the third transmitter channel continues the angular positions at -0.04, -0.11, -0.18, -0.25, ... -1.09 degrees; and so forth.
  • the transmission light beams angular positions from 2.2 degrees to -2.21 degrees are evenly distributed.
  • the resulting scanlines in the scan pattern inside the ROI are also evenly distributed.
  • the transmission light beam of the fourth transmitter channel (CH#4) has the angular position of 2.04 degrees.
  • This position is redundant because the transmission light beam of the first transmitter channel (CH#1) has already scanned at angular positions of 2.13, 2.06, and 1.99 degrees inside the ROI.
  • the angular position of 2.04 degrees falls into the angular range that has already covered by scanning inside the ROI.
  • the scanning at the angular position of 2.04 degrees is redundant and the resulting scanline at that position is also a redundant scanline.
  • angular positions of 1.4 degrees (scan number 11, CH#4), 1.88 degrees (scan number 12, CH#3), 1.24 degrees (scan number 13, CH#3), etc. are also redundant.
  • the angular positions of the transmission light beams outside the ROI fall within the range of the angular positions covered inside the ROI, then the angular positions outside the ROI are redundant, resulting in redundant scanlines.
  • a high number of redundant scanlines causes wasting of energy to process the scanlines and increases the number of scanlines needed to cover a desired vertical FOV.
  • the total number of scanlines is 200, even though the minimum number of scanlines is 191 according to equation [3]
  • a higher number of scanlines requires the light steering device (e.g., a polygon mirror) to rotate at a faster speed, thereby increasing the acoustic noise of the device and causing further energy waste.
  • FIG. 11 A is a block diagram illustrating a control device and additional components used to control the galvanometer mirror movement and to control the light steering device movement.
  • FIG. 1 IB is a flowchart illustrating an example method for controlling a galvanometer mirror, according to some embodiments.
  • a control device 1101 can be used to control the movement of the galvanometer mirror 1122.
  • the control device 1101 comprises processor(s) 1110, memory (not shown), and a galvanometer controller 1114.
  • the control device 1101 can further comprise a multiple-facet light steering device controller 1134.
  • processor(s) 1110 receives one or more galvanometer mirror movement profiles including, e.g., profiles 1102A, 1102B, and/or 1102C.
  • mirror movement profiles 1102 A, 1102B, and 1102C can be predefined or preconfigured for controlling the galvanometer mirror movement inside an end-of-travel region; outside the end-of-travel region and outside an ROI; and outside the end-of-travel region and inside the ROI, respectively.
  • profile 1102C may not be provided to processor(s) 1110.
  • Each of mirror movement profiles 1102 A, 1102B, and 1102C can represent a respective galvanometer mirror angular-position time relation and/or a galvanometer mirror speed-time relation.
  • the combination of the mirror movement profiles 1102A-C are configured to provide the angular position-time relation and/or speed-time relation associated with the movement of the galvanometer mirror between two angular positions.
  • the two angular positions are with respect to an axis about which the galvanometer mirror oscillates (e.g., axis about which mirror 709 oscillates shown in FIG. 7 and/or axis 834 about which mirror 808 oscillates shown in FIG. 8).
  • the two angular positions within with the galvanometer mirror moves are also referred to as the end angular positions or end positions.
  • the two angular positions can be about -20 degrees and about +20 degrees, respectively.
  • the galvanometer mirror oscillates to cover about a 40-degree range in one dimension (e.g., the vertical dimension) of the FOV.
  • FIGs. 12-14 illustrate examples of the various mirror-movement profiles and are described in greater detail below.
  • Processor(s) 1110 can be implemented by hardware and/or software. It can be a discrete component, a part of galvanometer controller 1114, a part of light steering device controller 1134, a part of control device 1101, and/or a part of any other components in the LiDAR system. Process(s) 1110 may also include a processor disposed external to the LiDAR system (e.g., in a cloud computing environment). FIG. 11 A further illustrates that in some embodiments, galvanometer mirror position feedback data 1117 is provided to process(s) 1110.
  • Galvanometer mirror position feedback data 1117 can be provided by an encoder and/or a Hall effect sensor associated with a galvanometer motor 1120 to measure the particular angular position of the galvanometer mirror 1122 at any particular time point.
  • Processor(s) 1110 receives one or more movement profiles 1102A-C of galvanometer mirror 1122 and performs one or more signal processing operations based on the received movement profiles.
  • the movement profiles comprise the preconfigured angular position-time relations and/or speed-time relations of the galvanometer mirror 1122.
  • the one or more movement profiles 1102A-C can be generated based on one or more parameters associated with the scanning requirements, using one or more signal processing operations.
  • Such parameters include, for example, the LiDAR scanning frame rate (e.g., 15 Hz), the light steering device rotational speed (e.g., 6300 rpm), a time step (denoted as At) for each horizontal scan performed by the light steering device, one or more base galvanometer mirror angular speeds (denoted as Sn) and their corresponding time intervals (denoted as Tn,), and a galvanometer mirror starting angular position (e.g., -10.8 degrees).
  • Each horizontal scan performed by the light steering device uses one facet of the light steering device.
  • each horizontal scan is performed when the polygon mirror rotates about 72 degrees (e.g., across one facet).
  • the one or more base galvanometer mirror angular speeds can be used to determine galvanometer’s angular speeds for scanning different regions.
  • the base speed Si represents the galvanometer mirror angular speed for scanning outside an ROI.
  • One example of the base speed Si is about 0.47 degrees/ms, which corresponds to a target scanline pitch of about 0.9 degrees.
  • the base speed S2 is the galvanometer mirror angular speed for scanning inside an ROI.
  • One example of the based speed S2 is about 0.0535 degrees/ms, which corresponds to a target scanline pitch of about 0.1 degrees.
  • one or more movement profiles 1102A-C can be generated using one or more signal processing operations.
  • Some of these signal processing operations include data sampling, filtering, analog- to-digital conversion, superimposing, data compensation, position control, data transformation, digital-to-analog conversion, subtraction, addition, multiplication, division, and/or any other desired operations.
  • a galvanometer mirror movement profile can predefine the galvanometer mirror’s angular speed (e.g., in degrees/ms) used for scanning within any particular time interval.
  • the speed of the galvanometer mirror movement can be configured to be a fraction of the base speed Si (e.g., 0.125*Si, 0.25*Si, or 0.5*Si). Outside the end-of-travel region and outside of an ROI, the speed of the galvanometer mirror movement can be configured to be equal to, or similar to, the base speed Si (e.g., 0.85*Si, 0.95*Si, 1.05*Si, 1.15*Si, or the like).
  • the speed of the galvanometer mirror movement can be equal to, or similar to, the base speed S2 (e.g., 0.85*S2, 0.95*S2, 1.05*S2, 1.15*S2, or the like).
  • the base speeds Si and/or S2 can be modified in any manner for configuring the movement profiles of the galvanometer mirror.
  • the speed of the galvanometer mirror can be configured directly without using a base speed.
  • a galvanometer mirror can be configured to oscillate between two angular positions.
  • the end-of-travel region includes the areas within one or more threshold angular distances from the two angular positions between which the galvanometer mirror oscillates.
  • the end-of-travel region comprises a first part within a first threshold angular distance of a first of the two angular positions between which the galvanometer mirror oscillates.
  • the end-of-travel region further comprises a second part within a second threshold angular distance of a second of the two angular positions.
  • FIG. 13 illustrates such a first part represented by region 1310 located at one end of the galvanometer mirror movement, and such a second part represented by region 1340 located at the other end of the galvanometer mirror movement.
  • curves 1300 represent transmission light beam angular positions of the four transmitter channels. As described above, the transmission light beam angular positions can be determined based on the galvanometer mirror angular positions.
  • Region 1310 corresponds to the first part of the end-of-trave region where the galvanometer mirror moves away from, or approaches toward, its vertical bottom position.
  • Region 1340 corresponds to the second part of the end-of-travel region where the galvanometer mirror approaches toward, or moves away from, its vertical top position.
  • region 1310 may be associated with the first threshold angular distance; and region 1340 may be associated with a second threshold angular distance.
  • the first threshold angular distance may or may not be the same as the second threshold angular distance.
  • the first part of the end-of-travel region may or may not have the same angular range as the second part of the end-of-travel region.
  • multiple speeds and time intervals defining the galvanometer mirror movement inside and outside the end-of-travel region can be determined.
  • the speed of the galvanometer movement within a first part (e.g., region 1310 shown in FIG. 13) of the end-of-travel region can be pre-configured to be a fraction of the base speed Si (e.g., 0.5*S1).
  • the time points between which the galvanometer mirror travels within the first part can be computed.
  • the first movement profile (e.g., 1102A in FIG. 11 A) for configuring the mirror movement inside the end-of-travel region may define that from the time point of 0ms to the time point of 2*D ⁇ (where D ⁇ denotes the step size), the galvanometer mirror’s angular speed should be half of the base speed (i.e., 0.5*Si).
  • the second movement profile (e.g., 1102B in FIG. 11 A) for configuring the mirror movement outside the end-of-travel region may define that from the time point of 2*D ⁇ to the time point of Ti, the galvanometer mirror’s angular speed should be the base speed Si.
  • the third movement profile (e.g., 1102C in FIG. 11 A) for configuring the mirror movement inside the ROI may define that from time point Ti to time point T1+T2, the galvanometer mirror’s speed should be another base speed S2.
  • the movement profiles in different regions can be configured differently.
  • movement profiles 1102A-C are combined as a single movement profile that configures the movement trajectory of the galvanometer mirror in all regions.
  • processor(s) 1110 may modify one or more movement profiles 1102A-C based on galvanometer mirror position feedback data 1117.
  • the angular positions of galvanometer mirror 1122 may not always be accurately controlled (e.g., according to movement profiles 1102A-C for mirror 1022) and may have position inaccuracies from time to time.
  • the position inaccuracies may be generated due to many factors such as controller inaccuracies, assembly-caused inaccuracies, inaccuracies caused by optical components manufacturing tolerance, inaccuracies caused by vibration, shock, temperature changes, and/or other environmental changes, etc.
  • a LiDAR system and its components often experience vibration or shock during the operation of a motor vehicle, to which the LiDAR system is mounted.
  • the vibration and shock may affect the position accuracies of one or more optical components in the LiDAR system, including mirror 1122. Therefore, in some embodiments, there will be differences between the expected angular positions included in the movement profile 1102A-C and the actual angular positions of galvanometer mirror 1122.
  • galvanometer mirror position feedback data 1117 can be taking into account when generating the control signals using one or more of the movement profiles 1102A-C.
  • galvanometer mirror 1122 has a rotary position encoder and/or a Hall effect sensor, or any other desired position encoders.
  • the position encoder provides position feedback data 1117 to processor(s) 1110.
  • processor(s) 1110 uses one or more of movement profiles 1102A-C and the position feedback data 1117 associated with the galvanometer mirror 1122, processor(s) 1110 generates signals 1111 by performing one or more of signal processing operations.
  • Some of these signal processing operations include data sampling, filtering, analog- to-digital conversion, superimposing, data compensation, position control, data transformation, digital-to-analog conversion, subtraction, addition, multiplication, division, and/or any other desired operations.
  • Signals 1111 represent modified movement profiles based on the position feedback data 1117.
  • a particular angular position and/or speed associated with a particular time in one or more of movement profiles 1102A-C can be modified (increased or decreased) to compensate the angular position inaccuracy of galvanometer mirror 1122.
  • the oscillation trajectory of galvanometer mirror 1122 can be controlled and adjusted in real time during operation. It is understood that in certain circumstances, one or more movement profiles 1102A-C may not need to be modified because position feedback data 1117 do not represent any inaccuracy or that the inaccuracy is below a threshold. If there is no inaccuracy or if an inaccuracy is below the threshold, the signals 1111 may be generated using just the one or more movement profiles 1102A-C.
  • signals 1111 are provided to galvanometer controller 1114. Using the signals 1111, controller 1114 generates control signals 1113 for controlling galvanometer drive 1118.
  • control signals 1113 are pulse width modulation (PWM) signals (e.g., 3.3V signals having milliampere current level). These pulse width modulation signals are provided to galvanometer driver 1118, which can generate a more powerful signal 1115 to drive a galvanometer motor 1120.
  • galvanometer driver 1118 includes an amplifier to amplify the input PWM control signal 1113 to generate a 12V PWM signal 1115 having ampere level current.
  • This high-power signal 1115 is then used to drive a galvanometer motor 1120 to oscillate galvanometer mirror 1122.
  • a galvanometer motor 1120 to oscillate galvanometer mirror 1122.
  • two or more of galvanometer controller 1114, galvanometer mirror 1122, motor 1120, a position encoder (not shown), and galvanometer driver 1118 are included in a galvanometer mirror assembly.
  • FIG. 11 A illustrates that control device 1101 includes processor(s) 1110 and galvanometer controller 1114.
  • Control device 1101 can further include a light steering device controller 1134.
  • Control device 1101 can be implemented by hardware and/or software.
  • control device 1101 can be a part of control circuitry 350 shown in FIG. 3.
  • light steering device controller 1134 controls the movement of light steering device 1142 (e.g., setting a predefine rotational speed).
  • the control of the galvanometer mirror 1122 can be performed based on the one or more movement profiles 1102A-C and optionally based on galvanometer mirror position feedback data 1117.
  • controllers 1114 and 1134 can be configured such that the rotation cycle of the light steering device 1142 is synchronized with the scanning cycle of galvanometer mirror 1122.
  • the synchronization between the light steering device 1142 and the galvanometer mirror 1122 can provide a more stable point cloud data, and is described in more detail below.
  • FIG. 11 A further illustrates that in some embodiments, light steering device position feedback data 1137 are provided to processor(s) 1110. Similar to those described above, the angular positions of light steering device 1142 may also have position inaccuracies and thus position feedback data 1137 can be provided to one or both of processor(s) 1110 and light steering device controller 1134 for at least partially compensating the position inaccuracies of light steering device 1142.
  • Light steering device 1142 can also obtain its angular positions/speed by using a position encoder.
  • the position encoder can be a rotary position encoder and/or a Hall effect sensor, or any other desired position encoders.
  • the position encoder provides position feedback data 1137 to processor(s) 1110 and/or light steering device controller 1134.
  • processor(s) 1110 can modify one or more galvanometer movement profiles 1102A-C to compensate the position inaccuracies of light steering device 1142. For example, if light steering device 1142 slows down its rotation, processor(s) 1110 can modify a speed-time relation included in one or more of profiles 1102A-C such that the scanning cycle of galvanometer mirror 1122 and the rotation cycle of light steering device 1142 remain synchronized. In one embodiment, the one or more profiles 1102A-C are modified such that the galvanometer mirror’s oscillation speed is reduced or increased.
  • light steering device controller 1134 uses position feedback data 1137 to compensate for its position inaccuracies. For example, based on position feedback data 1137, a particular angular position and/or speed of light steering device 1142 can be modified (increased or decreased) to compensate the angular position inaccuracy of device 1142 during operation. As such, one or more aspects of the rotational movement (e.g., speed) of light steering device 1142 can be controlled and adjusted in real time during operation.
  • the rotational movement of light steering device 1142 may not need to be adjusted because position feedback data 1137 may indicate that there is no inaccuracy (or that the inaccuracy or error is below a threshold). If there is no inaccuracy or if an inaccuracy is below the threshold, light steering device controller 1134 may not generate any signals for adjusting the movement of the light steering device 1142.
  • control signals 1137 are pulse width modulation (PWM) signals (e.g., 3.3V signals having milliampere current level). These pulse width modulation signals are provided to light steering device driver 1138, which can generate a more powerful signal 1139 to drive a light steering device motor 1140.
  • light steering device driver 1138 includes an amplifier to amplify the input PWM control signal 1137 to generate a 12V PWM signal 1139 having ampere level current. Signal 1139 has a high power and is then used to drive motor 1140 to rotate light steering device 1142.
  • two or more of light steering device controller 1134, light steering device driver 1138, light steering device motor 1140, a position encoder (not shown), and light steering device 1142 are included in a multiple-facet light steering device assembly.
  • FIG. 1 IB is a flowchart illustrating a method 1160 for performing an intelligent LiDAR scanning using one or more galvanometer mirror movement profiles described above.
  • method 1160 may begin with step 1162, in which a first mirror movement profile is received by a control device (e.g., device 1101 in FIG. 11 A).
  • the first mirror movement profile can be a profile for controlling the galvanometer mirror to move inside an end-of-travel region (e.g., regions 1310 and/or 1340 shown in FIG. 13).
  • the first mirror movement profile can include a speed-time relation and/or an angular position-time relation of the galvanometer mirror’s movement inside the end-of-travel region.
  • an end-of-travel region may include a first part (e.g., region 1310 in FIG. 13) within a first threshold angular distance of a first of the two angular positions between which the galvanometer mirror oscillates.
  • the end-of-travel region may also include a second part (e.g., region 1340 in FIG. 13) within a second threshold angular distance of a second of the two angular positions.
  • the first threshold angular distance may or may not be the same as the second threshold angular distance. That is, the first part of the end-of-travel region may or may not have the same angular range as the second part of the end-of-travel region.
  • the first part of the end-of-travel region may correspond to the angular distance that the galvanometer mirror moves within two time steps (e.g., 2* At), while the second part of the end- of-travel region may correspond to the angular distance that the galvanometer mirror moves within four time steps (e.g., 4* At).
  • the control device receives a second mirror movement profile.
  • the second mirror movement profile can be a profile for controlling the galvanometer mirror to move outside the end-of-travel region and outside an ROI (if any).
  • the second mirror movement profile can include a speed-time relation and/or an angular position-time relation of the galvanometer mirror’s movement outside the end- of-travel region and outside the ROI.
  • the first mirror movement profile is associated with a slower movement speed than the second mirror movement profile.
  • the first mirror movement profile may define that the galvanometer mirror moves inside the end-of-travel region at a speed of a fraction of the base speed Si (e.g., about 0.25*Si or 0.5* Si).
  • the second mirror movement profile may define that the galvanometer mirror moves outside the end-of-travel region at the base speed (e.g., about Si).
  • the galvanometer mirror moves faster outside the end-of-travel region than inside the end-of-travel region.
  • the slopes of different parts of curves 1300 represent different angular speeds of the galvanometer mirror’s movement.
  • the speed of the movement is greater in region 1320 (e.g., outside of end-of-travel region) than in region 1310 (e.g., inside the end-of-travel region).
  • region 1320 e.g., outside of end-of-travel region
  • region 1310 e.g., inside the end-of-travel region
  • the first mirror movement profile and the second mirror movement profile can be determined based on one or more parameters including the target pitch of the scanlines and the number of transmitter channels. For instance, if a first target pitch outside of an ROI and a second target pitch inside the ROI are predefined, the minimum number of scanlines per frame can be calculated based on equation [3] described above. If the frame rate is also defined, then the total number of scanlines per second can be determined based on equation [1] If the number of the facets of the light steering device and the number of transmitter channels are also known, the rotation speed of the light steering device can be calculated using equation [2], and in turn the time step D ⁇ of the galvanometer mirror can be determined. Thus, the mirror movement profiles can be determined based on the time step D ⁇ and one or more base speeds (Si, S2) as described above.
  • the control device receives (step 1165) a third mirror movement profile for scanning inside the ROI.
  • the third mirror movement profile includes a speed-time relation and/or an angular position-time relation of the galvanometer mirror’s movement inside the ROI.
  • the control device receives galvanometer mirror’s position feedback data.
  • the position feedback data represent position inaccuracy, if any, of the galvanometer mirror and are used to adjust the movement profiles for better controlling the angular position and/or speed of the galvanometer mirror.
  • the position feedback data can also be used for determining if the galvanometer mirror is currently located inside or outside an end-of-travel region.
  • step 1168 the control device determines if the galvanometer mirror is currently located inside or outside an end-of-travel region. The determination can be based on the position feedback data received in step 1166, and/or based on a time point. For instance, if a first mirror movement profile defines that between time points 0 and 2* At, the galvanometer mirror should move inside an end-of-travel region and if the current time point (e.g., At) is between the defined time points, then the control device determines the galvanometer mirror is moving inside the end-of-travel region. If the current time point (e.g., 3* At) is outside of these two defined time points, the control device determines that the galvanometer mirror is moving outside the end-of- travel region.
  • the current time point e.g., 3* At
  • the control device compares the galvanometer mirror’s position feedback data with one or more threshold angular distances to determine if the mirror is moving inside or outside the end-of-travel region. For example, if the current position feedback data indicates that the mirror’s position is at an angular position that is less than the threshold angular distance, the control device determines that the mirror is moving inside an end-of-travel region, and vice versa.
  • FIG. 1 IB further illustrates that if the galvanometer mirror is determined to be inside an end-of-travel region, the control device controls (step 1170) the galvanometer mirror to move based on the first mirror movement profile. And if the galvanometer mirror is determined to be outside an end-of-travel region, the control device further determines (step 1174) if the mirror is outside an ROI. If so, the control device controls (step 1176) the galvanometer mirror to move based on the second mirror movement profile. As described above, in some embodiments, the first mirror movement profile is associated with a slower movement speed than the second mirror movement profile.
  • the galvanometer mirror moves at a speed of about 0.5*Si inside the end-of-travel region; while based on the second mirror movement profile, the galvanometer mirror moves at a speed of about Si outside the end-of-travel region.
  • the slower moving speed inside the end-of-travel region facilitates reducing or eliminating scanline skipping, which occurs if the moving speed is the same for both inside and outside of the end-of-travel region.
  • FIG. 12 is a sample transmission beams angular position pattern when the galvanometer mirror is configured to scan according to one or more mirror movement profiles.
  • An angular position of a particular transmitter beam is related to the angular position of the galvanometer mirror.
  • the numbers in Table 1200 of FIG. 12 represent angular positions of transmission beams provided by multiple transmitter channels (e.g., four channels CH#1-CH#4). Each of the angular positions in Table 1200 of FIG. 12 thus corresponds to a scanline in the resulting LiDAR scan pattern.
  • FIG. 12 illustrates that by properly configuring the galvanometer mirror movement files, the number of skipped scanlines is reduced.
  • a LiDAR system can include multiple transmitter channels separated from each other by an angular channel spacing.
  • the multiple transmission light beams are positioned sufficiently apart at a desired angular separation to scan different areas within an FOV, providing a good coverage of the scanned areas and improving the scan resolution and speed.
  • the angular channel spacing is configured to be, for example, 1.2 degrees.
  • the target scanline pitch for scanlines outside the ROI is 0.24 degrees.
  • the angular channel spacing is configured to be an integer multiplication of the target scanline pitch (e.g., in this case, 5*0.24). The angular channel spacing can thus be equal to or greater than the target scanline pitch.
  • the target scanline pitch can be determined based on one or more parameters including a maximum LiDAR detection distance outside of a region of interest (ROI), a reflection rate outside of the ROI, a horizontal direction field-of-view (FOV) requirement outside of the ROI, a vertical direction FOV requirement outside of the ROI, an horizonal direction angular resolution outside of the ROI, and a vertical direction angular resolution outside of the ROI.
  • ROI region of interest
  • FOV horizontal direction field-of-view
  • Table 1200 shows the transmission beam angular positions corresponding to two frames of scanning.
  • the first frame is generated when the galvanometer mirror oscillates from, for example, a first end angular position to a second end angular position.
  • the first frame corresponds to time points from 0ms to 64.77ms.
  • the second frame is generated when the galvanometer mirror oscillates from, for example, the second end angular position back to the first end angular position.
  • the second frame corresponds to time points from 66.675ms to 131 445ms.
  • the galvanometer mirror oscillates within an end-of-travel region.
  • a first part of the end-of-travel region corresponds to the time points from about 0ms to about 5.715ms when the galvanometer mirror oscillates away from the first end angular position, and also corresponds to the time points from about 125.73ms to about 131.445ms when the galvanometer mirror approaches toward the first end angular position.
  • a second part of the end-of- travel region corresponds to the time points from about 59.055ms to about 64.77ms when the galvanometer mirror approaches the second end angular position, and also corresponds to the time points from about 66.675ms to about 72.39ms when the galvanometer mirror oscillates away from the second end angular position.
  • Table 1200 shows that there are skipped scanlines in the first part of the end-of-travel region corresponding to the time points from about 0ms to about 5.715ms. That is, the angular positions of the transmission light beams are distributed evenly (and so does the resulting scanlines) starting from the angular position at 7.1 degrees, which is at about 7.62ms. Table 1200 shows that starting from 7.1 degrees, the angular positions of the transmission light beams are evenly spaced (and so are the resulting scanlines) at 7.1, 6.86, 6.62, 6.38, 6.14, etc., degrees across all four transmitter channels with a target scanline pitch of 0.24 degrees. But in the first part of the end-of-travel region as shown by Table 1220, angular positions at 9.74, 9.26, 8.54, and 7.34 degrees are skipped.
  • these skipped scanlines are filled in the next frame when the galvanometer mirror oscillates back to the first part of the end- of-travel region corresponding to time points from 125.73ms to 133.35ms.
  • angular positions 9.84, 9.26, 8.54, and 7.34 degrees are present in the first part of the end- of-travel region corresponding to the time points from about 125.73ms to about 131.445ms.
  • the skipped scanlines in one galvanometer mirror scanning cycle can be compensated by the scanlines in another galvanometer mirror scanning cycle.
  • Table 1200 shows that in the second part of the end-of-travel region corresponding to time points from about 59.055ms to 64.77ms, angular positions at 12.1, 13.3, 14.02, and 14.5 degrees are skipped, resulting in skipped scanlines. But these angular positions are present in the second part of the end-of-travel region corresponding to time points from about 66.675ms to 72.39ms.
  • a galvanometer mirror scanning cycle corresponds to a complete trip in one mirror movement direction. A scanning cycle generates one frame. As shown in Table 1200 of FIG.
  • the galvanometer mirror oscillates from the first end angular position to the second end angular position (e.g., from top to bottom).
  • the galvanometer mirror has completed one scanning cycle.
  • the galvanometer mirror oscillates from the second end angular position back to the first end angular position (e.g., from bottom to top), thereby completing another scanning cycle.
  • the two scanning cycles are neighboring scanning cycles for generating two scanning frames.
  • scanlines skipping in the end-of-travel region in one scanning cycle can be compensated (e.g., filled in) by its neighboring scanning cycle.
  • the scanline skipping is thus eliminated due to the using of one or more mirror movement profiles to slow down the galvanometer mirror movement within the end-of-travel region.
  • movement of the galvanometer mirror based on the properly configured mirror movement profile facilitates minimizing or eliminating instances of scanlines having a pitch exceeding the target scanline pitch (e.g., outside of ROI and inside the end-of-travel region).
  • Scanlines having a pitch exceeding the target scanline pitch correspond to skipped or missing scanlines. Eliminating or minimizing the skipped or missing scanlines improves the resolutions of the scanline pattern, reduces the speed of the light steering device for producing the same total number of scanlines, and thus improves the overall performance of the LiDAR system.
  • the control device determines (step 1174) if the galvanometer mirror is located inside or outside an ROI.
  • An ROI is a region between a third threshold angular distance from the first of the two angular positions (within which the galvanometer mirror oscillates) and a fourth threshold angular distance from the second of the two angular positions (within which the galvanometer mirror oscillates).
  • FIG. 12 illustrates an ROI between angular positions corresponding to time points from about 17.145ms to about 38.1ms when the galvanometer mirror moves in one direction and time points from about 94.345ms to about 114.3ms when the galvanometer mirror moves in the other direction.
  • the angular position at the time point of 17.145ms is about 6.72 degrees from the angular position at the time point of 0ms. Therefore, in this example, the third threshold angular distance is about 6.72 degrees, indicating that the ROI is about 6.72 degrees from one end angular position of the galvanometer mirror’s oscillation range. Similarly, the fourth threshold angular distance is about 11.52 degrees from the other end angular position of the galvanometer mirror’s oscillation range. In this example, therefore, the ROI is closer to one end angular position than that to the other end.
  • the angular positions and threshold distances associated with the ROI can be preconfigured or determined based on dynamic vehicle scanning requirements.
  • a vehicle perception and planning system e.g., system 220 shown in FIG. 2
  • the LiDAR system can dynamically move the ROI (and the configure the associated angular positions and threshold distances) to the requested area.
  • the control device can configure the angular range of the ROI based on the angular channel spacing and the number of the transmitter channels.
  • the ROI illustrated in Table 1200 of FIG. 12 has an angular range of about 4.8 degrees, which is equal to the angular channel spacing (e.g., 1.2 degrees) multiplied by the number of transmitter channels (e.g., 4).
  • the galvanometer mirror is configured, based on the third mirror movement profile, to move at a slower speed such that the target scanline pitch of about 0.1 degrees is achieved.
  • the first transmitter channel (CH#1) scans angular positions from about 2.3 degrees to 1.2 degrees in a 0.1 degrees step; the second transmitter channel (CH#2) scans angular positions from about 1.1 degrees to 0 degrees in a 0.1 degrees step; and the third transmitter channel (CH#3) thus scans angular positions from -0.1 degrees to -1.2 degrees in a 0.1 degrees step; and the fourth transmitter channel (CH#4) thus scans angular positions from -1.3 degrees to -2.4 degrees in a 0.1 degrees step.
  • the scanlines generated by each transmitter channel do not overlap with other scanlines generated by other transmitter channels.
  • step 1174 can be performed in a similar manner as step 1168.
  • the determination can be based on the current time point and the one or more mirror movement profiles, which include speed-time and/or angular position-time relations. The determination can also be based on comparing the galvanometer mirror’s position feedback data with the angular range of the ROI.
  • FIG. 13 illustrates a region 1330, which corresponds to the ROI angular range within which the galvanometer mirror moves.
  • the two areas of region 1330 in FIG. 13 indicates that the galvanometer mirror moves into and out of the ROI from different directions (e.g., one from top to bottom and the other from bottom to top).
  • FIG. 12 illustrates that in one scanning direction (e.g., from top to bottom), the galvanometer mirror moves into the ROI region at the time point of about 17.145ms and moves out from the ROI region at the time point of about 38.1ms. In the other scanning direction (e.g., from bottom to top), the galvanometer mirror moves into the ROI region at the time point of about 93.345ms and moves out from the ROI at the time point of about 114.3ms.
  • FIG. 12 further illustrates that inside the ROI, the target scanline pitch is configured to be 0.1 degrees, which is much smaller than the pitch of 0.24 degrees outside the ROI.
  • the target scanline pitch inside an ROI can be configured according to one or more parameters including, a maximum LiDAR detection distance inside of the ROI, a reflection rate inside of the ROI, a horizontal direction field-of-view (FOV) requirement inside of the ROI, a vertical direction FOV requirement inside of the ROI, an horizonal direction angular resolution inside of the ROI, and/or a vertical direction angular resolution inside of the ROI.
  • FIG. 1 IB illustrates that if the control device determines that the galvanometer mirror is located inside an ROI, it controls (step 1180) the galvanometer mirror to move based on the third mirror movement profile.
  • FIG. 12 further illustrates that by configuring the galvanometer mirror’s movement (using the second and third mirror movement profiles) to their respective scanning speeds for scanning outside and inside the ROI, the number of redundant or overlapping scanlines can be reduced or eliminate.
  • redundant or overlapping scanlines may occur when the galvanometer mirror moves into an ROI or out from an ROI. These redundant scanlines correspond to transmission beam angular positions that have already been covered inside the ROI and are thus unnecessary.
  • the redundant scanlines occur at the angular positions corresponding to scan numbers 10-14 and 31-35. That is, there are redundant scanlines distributed corresponding to 11 scan numbers if the scanning does not use properly-configured movement profiles.
  • Table 1200 illustrates that in one galvanometer scanning cycle corresponding to the time points between about 0ms to 64.77ms, the redundant scanlines occur at the angular positions corresponding to scan numbers 7-9 and 23-24 (corresponding to time points between about 11.43-15.24ms and 41.91-43.815ms). Compared to the number of scan numbers that have redundant scanlines in Table 1000, the number of scan numbers that have redundant scanlines in Table 1200 has been reduced from 11 to 5.
  • Reducing the number of redundant scanlines further reduces the requirements of the rotational speed of the light steering device such that it can rotate slower while still achieving a required number of total scanlines. This in turn reduces the energy consumption and improves the reliability and stability of the light steering device.
  • FIG. 13 illustrates example curves 1300 representing transmission beams angular position patterns in multiple transmitter channels, according to some embodiments.
  • the transmission beams angular positions are related to, and can be derived from, the galvanometer mirror’s angular positions. Therefore, curves 1300 provide a visual representation of the galvanometer mirror’s movement across different regions. As shown in FIG. 13, different parts of the curves 1300 have different slopes, indicating that the galvanometer mirror moves at different angular speed in different regions. For instance, region 1310 of curves 1300 corresponds to angular positions inside the end-of-travel region of the galvanometer mirror and region 1320 corresponds to angular positions outside the end-of-travel region.
  • region 1310 is smaller than the slope of region 1320, indicating that the galvanometer mirror moves slower inside the end-of-travel region than outside the end-of-travel region.
  • region 1330 is much smaller than any other regions, indicating that galvanometer mirror moves slower inside the ROI than outside the ROI.
  • FIG. 14 illustrates a zoomed-in view of a portion of the example curves 1300 representing transmission beams angular position patterns in multiple transmitter channels shown in FIG. 13, according to some embodiments.
  • the portion of curves 1300 shown in FIG. 14 is a part of region 1340, which corresponds to the end-of-travel region of the galvanometer mirror.
  • scanline skipping may occur in the end-of-travel region if the galvanometer mirror’s oscillation speed remains the same as that outside of the end-of-travel region.
  • the galvanometer mirror is configured to move based on the first mirror movement profile, it slows down the oscillation speed inside the end-of-travel region and thus eliminates the scanline skipping. This is illustrated in FIG.
  • each data point represents a corresponding scanline in a LiDAR scanline pattern (an example is shown in FIG. 15).
  • the targe scanline pitch associated with curves 1300 is configured to be about 0.24 degrees.
  • data point 1402 located on curve 1401D
  • data point 1404 located on curve 1401B
  • Data point 1404 has an angular position at about -12.1 degrees. Therefore, the two data points 1402 and 1404 are spaced apart by about 0.24 degrees.
  • Data point 1404 is located in a neighboring scanning cycle of the galvanometer mirror because FIG. 14 shows that at the time of data point 1404, the galvanometer mirror has changed the moving direction, thereby starting another scanning cycle.
  • the next neighboring data point is data point 1406 located on curve 1401B.
  • Data point 1406 has an angular position at about -12.34 degrees. Again, data points 1404 and 1406 are spaced apart by about 0.24 degrees.
  • the next neighboring data point is data point 1408 located on curve 1401C.
  • Data point 1408 has an angular position of about -12.58 degrees.
  • the next neighboring data point is data point 1410 located on curve 1401D. Data point 1410 has an angular position of about -12.82 degrees. As illustrated by FIG.
  • the five data points 1402, 1404, 1406, 1408, and 1410 are each spaced apart from their neighboring data points by 0.24 degrees. Because each of the data points corresponds to a scanline, the scanlines are thus spaced apart at the target scanline pitch of 0.24 degrees. In a similar manner, the data points from curves 1300 (representing scanning using the 4 transmission beams) cover all the angular positions in the desired 0.24-degree pitch. As a result, there is no scanline skipping in the end-of-travel region.
  • FIG. 15 illustrates an example LiDAR scanline pattern 1500, according to some embodiments.
  • LiDAR scanline pattern 1500 illustrates that the scanlines are evenly spaced at the first target scanline pitch in the end-of-travel region and other regions outside of ROI. That is, scanline pattern 1500 shows that by controlling the galvanometer mirror’s movement based on properly-configured mirror movement profiles, the galvanometer mirror’s oscillation speed is reduced inside the end-of-travel region, thereby eliminating skipped scanlines.
  • FIG. 15 further illustrates that the LiDAR system is configured to scan an ROI, which correspond to the scanlines in the center area of the scanline pattern in both the vertical and horizontal directions. The scanlines associated with the ROI has a smaller target scanline pitch, thereby providing a higher density or resolution scanline pattern.
  • the LiDAR scanline pattern 1500 corresponds to one scanning frame.
  • the starting position of the scanning frame may drift from frame-to-frame.
  • the starting position 1510 may change horizontally across multiple frames.
  • the ending position 1520 may change horizontally across multiple frames.
  • the drifting of the starting and ending positions of the frames is caused by the lack of synchronization between the rotational speed of the light steering device and the oscillation speed of the galvanometer mirror.
  • the control device e.g., device 1101
  • the control device is configured to synchronize (steps 1172 or 1182) the movement of the light steering device with the movement of the galvanometer mirror.
  • the speed of the galvanometer mirror can be controlled or predetermined such that the galvanometer mirror’s scanning cycle is synchronized with the rotation cycle of the light steering device. This can be performed by further adjusting the speed-time relation in one or more of the mirror movement profiles of the galvanometer mirror.
  • the light steering device can be configured to rotate an N number of cycles, where N is an integer number.
  • An oscillation cycle of the galvanometer mirror refers to the movement from one end angular position to the other end angular position (e.g., from top to bottom or from bottom to top).
  • a rotation cycle of the light steering device e.g., a polygon mirror refers to one complete 360- degree rotation.
  • the scanline starting position is fixed from frame-to-frame.
  • Table 1200 in FIG. 12 as an example, if in the same amount of time that the galvanometer mirror completes one oscillation cycle (e.g., scanning from time points at about 0ms to 64.77ms, or completes 35 time steps), the light steering device completes 35 rotation cycles, then the starting and stopping scanline positions of the resulting scanline pattern do not drift from frame-to-frame. In this example, at each angular position of the galvanometer mirror (corresponding to each time point), the light steering device completes one complete 360-degree rotation cycle.
  • Eliminating the frame-to-frame drifting of the starting positions can make the resulting point cloud more stable by reducing or eliminating the frame-to-frame jitter.
  • Jitter may be caused by variation of the facet characteristics among different facets of the light steering devices. Ideally, all facets of the light steering device are exactly the same. In reality, however, different facets may have slightly different shapes, tilt angles (a tilt angle is an angle between the rotational axis of the light steering device and the normal direction of the facet), surface roughness, etc. Thus, scanlines generated by scanning using different facets of the light steering device may move up and down to form jitter from frame-to-frame.
  • the scanlines of the two frames may not be at the same position because the two facets are slightly different. As a result, frame-to-frame jitter occurs, and the point cloud is unstable.
  • the jitter can be eliminated or reduced, thereby improving the quality of the scanlines.

Landscapes

  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Optics & Photonics (AREA)
  • Electromagnetism (AREA)
  • Optical Radar Systems And Details Thereof (AREA)
  • Mechanical Optical Scanning Systems (AREA)
  • Measurement Of Optical Distance (AREA)
  • Traffic Control Systems (AREA)

Abstract

La présente invention concerne un système de balayage pour télédétection par laser (LiDAR). Le système comprend un dispositif d'orientation de lumière ; un miroir de galvanomètre pouvant être commandé pour osciller entre deux positions angulaires ; et une pluralité de canaux d'émetteur conçus pour diriger une lumière vers le miroir de galvanomètre. La pluralité de canaux d'émetteur sont séparés les uns des autres par un espacement de canal angulaire. Le système comprend en outre un dispositif de commande. A l'intérieur d'une région de fin de parcours, le dispositif de commande commande le miroir de galvanomètre pour qu'il se déplace sur la base d'un premier profil de mouvement de miroir. En dehors de la région de fin de parcours, le dispositif de commande commande le miroir de galvanomètre pour qu'il se déplace sur la base d'un second profil de mouvement de miroir. Le second profil de mouvement de miroir est différent du premier profil de mouvement de miroir. Le mouvement du miroir de galvanomètre sur la base du premier profil de mouvement de miroir facilite la minimisation des instances de lignes de balayage correspondant à la région de fin de parcours ayant un pas dépassant un premier pas cible.
PCT/US2022/030373 2021-05-21 2022-05-20 Profils de mouvement pour balayage intelligent au moyen d'un miroir de galvanomètre à l'intérieur d'un dispositif de balayage lidar WO2022246278A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
EP22731899.5A EP4314884A1 (fr) 2021-05-21 2022-05-20 Profils de mouvement pour balayage intelligent au moyen d'un miroir de galvanomètre à l'intérieur d'un dispositif de balayage lidar
CN202280035712.XA CN117413199A (zh) 2021-05-21 2022-05-20 使用lidar扫描仪内部的检流计镜进行智能扫描的移动配置文件

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US202163191891P 2021-05-21 2021-05-21
US63/191,891 2021-05-21
US17/749,968 US11662440B2 (en) 2021-05-21 2022-05-20 Movement profiles for smart scanning using galvonometer mirror inside LiDAR scanner
US17/749,968 2022-05-20

Publications (2)

Publication Number Publication Date
WO2022246278A1 true WO2022246278A1 (fr) 2022-11-24
WO2022246278A8 WO2022246278A8 (fr) 2023-12-07

Family

ID=82115769

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2022/030373 WO2022246278A1 (fr) 2021-05-21 2022-05-20 Profils de mouvement pour balayage intelligent au moyen d'un miroir de galvanomètre à l'intérieur d'un dispositif de balayage lidar

Country Status (1)

Country Link
WO (1) WO2022246278A1 (fr)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20190107623A1 (en) * 2017-10-09 2019-04-11 Luminar Technologies, Inc. Adjustable scan patterns for lidar system
US20190383911A1 (en) * 2018-06-15 2019-12-19 Innovusion Ireland Limited Lidar systems and methods for focusing on ranges of interest

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20190107623A1 (en) * 2017-10-09 2019-04-11 Luminar Technologies, Inc. Adjustable scan patterns for lidar system
US20190383911A1 (en) * 2018-06-15 2019-12-19 Innovusion Ireland Limited Lidar systems and methods for focusing on ranges of interest

Also Published As

Publication number Publication date
WO2022246278A8 (fr) 2023-12-07

Similar Documents

Publication Publication Date Title
US20220413102A1 (en) Lidar systems and methods for vehicle corner mount
WO2023183599A1 (fr) Communication de système lidar utilisant un codage de données pour communiquer des données de nuage de points
US20220283311A1 (en) Enhancement of lidar road detection
US12072447B2 (en) Compact LiDAR design with high resolution and ultra-wide field of view
US11662440B2 (en) Movement profiles for smart scanning using galvonometer mirror inside LiDAR scanner
US20230109158A1 (en) Dynamic compensation to polygon and motor tolerance using galvo control profile
US20220397678A1 (en) Transmitter channels of light detection and ranging systems
WO2022187060A2 (fr) Amélioration de la détection de route par lidar
US11614521B2 (en) LiDAR scanner with pivot prism and mirror
WO2022246278A1 (fr) Profils de mouvement pour balayage intelligent au moyen d'un miroir de galvanomètre à l'intérieur d'un dispositif de balayage lidar
US11662439B2 (en) Compact LiDAR design with high resolution and ultra-wide field of view
US20240168206A1 (en) Systems and methods for polygon mirror angles adjustment
US20220334223A1 (en) Dynamic pulse control for lidar light source
US20240192331A1 (en) Interference reduction
US11768294B2 (en) Compact lidar systems for vehicle contour fitting
US20240118401A1 (en) Methods and systems for tracking zero-angle of a galvanometer mirror
US20240103174A1 (en) Point cloud data compression via below horizon region definition
WO2022250799A2 (fr) Compensation dynamique du polygone et de la tolérance du moteur à l'aide d'un profil de commande galvo
WO2024108150A1 (fr) Systèmes et procédés de réglage d'angles de miroir polygonal
WO2022261517A1 (fr) Canaux d'émetteur de systèmes de télédétection par laser
WO2022260758A2 (fr) Commande d'impulsion dynamique pour source de lumière lidar
WO2024129548A1 (fr) Réduction d'interférences
WO2024086223A1 (fr) Lidar basé sur un réseau d'émetteurs bidimensionnel
WO2024063929A1 (fr) Compression de données de nuage de points par l'intermédiaire d'une définition de région d'horizon inférieure
WO2024054461A1 (fr) Circuits et procédés de commande polyphasée de diodes de pompage dans un laser à fibre

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 22731899

Country of ref document: EP

Kind code of ref document: A1

WWE Wipo information: entry into national phase

Ref document number: 2022731899

Country of ref document: EP

ENP Entry into the national phase

Ref document number: 2022731899

Country of ref document: EP

Effective date: 20231103

WWE Wipo information: entry into national phase

Ref document number: 202280035712.X

Country of ref document: CN

NENP Non-entry into the national phase

Ref country code: DE