EP3673235A1 - Navigation method and navigation device - Google Patents
Navigation method and navigation deviceInfo
- Publication number
- EP3673235A1 EP3673235A1 EP18740196.3A EP18740196A EP3673235A1 EP 3673235 A1 EP3673235 A1 EP 3673235A1 EP 18740196 A EP18740196 A EP 18740196A EP 3673235 A1 EP3673235 A1 EP 3673235A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- vehicle
- navigation method
- vehicles
- navigation
- stations
- Prior art date
- Legal status (The legal status 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 status listed.)
- Withdrawn
Links
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
- G05D1/0214—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory in accordance with safety or protection criteria, e.g. avoiding hazardous areas
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/28—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network with correlation of data from several navigational instruments
- G01C21/30—Map- or contour-matching
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- G—PHYSICS
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- 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
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/02—Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
- G01S13/50—Systems of measurement based on relative movement of target
- G01S13/58—Velocity or trajectory determination systems; Sense-of-movement determination systems
- G01S13/589—Velocity or trajectory determination systems; Sense-of-movement determination systems measuring the velocity vector
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- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/74—Systems using reradiation of radio waves, e.g. secondary radar systems; Analogous systems
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- 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
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/87—Combinations of radar systems, e.g. primary radar and secondary radar
- G01S13/876—Combination of several spaced transponders or reflectors of known location for determining the position of a receiver
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- 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
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/87—Combinations of radar systems, e.g. primary radar and secondary radar
- G01S13/878—Combination of several spaced transmitters or receivers of known location for determining the position of a transponder or a reflector
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- 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
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
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- G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
- G01S17/02—Systems using the reflection of electromagnetic waves other than radio waves
- G01S17/50—Systems of measurement based on relative movement of target
- G01S17/58—Velocity or trajectory determination systems; Sense-of-movement determination systems
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- 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
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- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
- G01S5/0284—Relative positioning
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- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0276—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle
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- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
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- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0287—Control of position or course in two dimensions specially adapted to land vehicles involving a plurality of land vehicles, e.g. fleet or convoy travelling
- G05D1/0291—Fleet control
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0116—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
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- G—PHYSICS
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- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
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- G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
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- G—PHYSICS
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- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
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- H04W4/02—Services making use of location information
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- H04W4/44—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
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- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/93—Radar or analogous systems specially adapted for specific applications for anti-collision purposes
- G01S13/931—Radar or analogous systems specially adapted for specific applications for anti-collision purposes of land vehicles
- G01S2013/9321—Velocity regulation, e.g. cruise control
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- 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
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
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- G01S13/93—Radar or analogous systems specially adapted for specific applications for anti-collision purposes
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- G01S2013/9325—Radar or analogous systems specially adapted for specific applications for anti-collision purposes of land vehicles for inter-vehicle distance regulation, e.g. navigating in platoons
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- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/93—Radar or analogous systems specially adapted for specific applications for anti-collision purposes
- G01S13/931—Radar or analogous systems specially adapted for specific applications for anti-collision purposes of land vehicles
- G01S2013/9329—Radar or analogous systems specially adapted for specific applications for anti-collision purposes of land vehicles cooperating with reflectors or transponders
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- H04W4/02—Services making use of location information
- H04W4/023—Services making use of location information using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
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- H04W4/20—Services signaling; Auxiliary data signalling, i.e. transmitting data via a non-traffic channel
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- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
Definitions
- the present invention relates to a navigation method and a
- Navigation device for carrying out a navigation method for
- At least one autonomous road vehicle within a limited area.
- Mobility concepts As a rule, this attempts to replace the driver of passenger and goods transport vehicles, such as cars, trucks and trucks by autonomous systems, including the perception of the driver is simulated by various sensors.
- the simulation of vision including the detection of markings on the road surface, the
- Traffic signs, the signal systems (traffic lights, traffic signs, etc.) and other road users is very susceptible to interference.
- Street canyons modern city centers are often at least partially shielded, so that there is a sufficiently precise control of the vehicles is prevented.
- Wheel speeds of the vehicles from which curve radii can be calculated In any case, it remains in the task sharing a specification of the route selection by an external system, where it is determined over which roads the trip to the destination is to be made and the infrastructure control by on-board systems of the vehicles, which are based on the perception criteria of a human driver.
- Influences such as rain, snow and ice are susceptible to interference. Furthermore, installations outside the road surface are sweepers and clearing vehicles
- a navigation device and a navigation method which enables autonomous driving in a limited area reliably and cost-effectively.
- the navigation method according to claim 1 it is provided that in the limited area a plurality of stationary stations, each with a transceiver unit are arranged, which are connected to the data exchange wirelessly with a transceiver unit of the vehicle, so that the position and the speed of the vehicle can be clearly determined in that the transit time of a signal from the transceiver unit of the vehicle to at least two stations and back is determined.
- the vehicle is a vehicle of a fleet of a plurality of autonomous and individually mobile vehicles.
- Individual means in this context that the vehicles can travel independently of each other different ways.
- the transit time T of the signal results from the transit time Ti of the signal from the transceiver unit of the vehicle to a station which
- the signals have identification features of the transmitting transceiver units.
- the identification features are modulated onto the signals by the sending transceiver units and allow an unambiguous assignment of the vehicles and stations. Accordingly, for an exact position and speed determination as well as for guideway control of the vehicle at certain time intervals in the
- Non-directional signals contain a code for identifying the vehicle and reach only relatively short ranges, so that the required transmission power is low.
- the signal is in the transceiver of the nearby
- the transceiver unit in the vehicle thus receives the return signal within an exactly definable time window, which is composed of the transit time Ti of the signal to the station, the same retransmission interval To (data processing time) and the transit time T2 from the station to the vehicle.
- the vehicle is at the time of measurement on a defined spherical surface at a distance from a station. Since the vehicle must be on the ground, reduces the number of possibilities of the position of a spherical surface on the intersection of the road surface with the spherical surface, ie on a line. With a bearing to another station, which defines in the same way a line (curve), then results in an intersection, which marks the position of the vehicle.
- a plausibility check is made with one of the previous bearings or the bearing is not utilized.
- an exact one-to-one position of the vehicle is determined. If the stations are precisely mapped, a vector space can be defined as the route, which only requires a small volume of data compared to a road map or video image material.
- the processing time To may be a fixed value or variable, in the latter case the time To used in real time for each bearing being returned, so that the position determination is unambiguous. Such a variation is useful or even necessary if several vehicles are in communication with the same stations and the processing of the data is not synchronized.
- the evaluation algorithm from the running times and the position of the stations can be done in real time and the stored correction factors for the intended
- Driving distance (trajectory) to be stored in a library Driving distance (trajectory) to be stored in a library.
- a direct correction algorithm is stored, which determines the correction data for the control of the vehicle and converts instead of a position determination from the determined data and the Sol st- deviation.
- the bearing starts from the stationary stations and the transceiver configured transceiver unit is located in the vehicle.
- the station sends correction data for the trajectory in addition to the bearing.
- Embodiment is that the library of trajectories in each station requires much less data volume, since only the transmission area of the respective station is stored and not the entire limited area that can be traveled with the vehicles.
- a radio sequence is selected which triggers few reflections on the surrounding areas.
- the transmitted data is preferably digitized.
- the data transmission takes place in a preferred embodiment in packets, so that no standing
- the data sent by the transceiver units and / or the route correction data are transmitted to a control center. These data are then optimized by so-called Artifical Intelligence systems or other learning routines and the results are used in the available libraries and / or in the algorithms for continuous improvement and adaptation.
- the limited area is mapped.
- each road section ie the route between junctions and intersections, is first depicted as vector graphics.
- Each section of the route is marked with a route marker.
- the routes are highlighted with an offset value from the center. After the mapping has been completed, all routes are traversed with real vehicles and the vector data are checked.
- All vehicles in the fleet of autonomous vehicles will then receive software that allows the onboard steering system to follow the vectorised routes.
- the offset values are taken into account.
- one vehicle moves at a distance of 0.7 m from the center on the inner lane and another vehicle at a distance of 1.4 m on the outer lane so that the parallel-running vehicles are optimally guided. It can also be set footprints for entry and exit in the vehicles.
- the course of the route determination is thus typically as follows:
- a passenger sends a call signal by mobile phone, preferably with an app to a center with his destination. His position on the call is sent automatically. These positions are based on the known GPS signals.
- a computer in the control center (or also in the next vehicle of the fleet) determines the corresponding position data of the vectorized on the basis of the GPS data
- the shortest route is determined.
- the fastest route can also be selected by not assigning distances but travel times to the route sections.
- the necessary data is collected centrally from running logs of the active (moving) autonomous vehicles of the fleet.
- the route optimization is carried out in the control center or onboard in each vehicle of the fleet.
- the route guidance takes into account data for the offset of the track from the center line as well as another offset, which results from the fact that the receiving antennas are not higher than the height of the road surface, but higher.
- the receiving antennas are arranged on the roofs of the vehicles and, given a possible lateral inclination of the vehicle, a lateral deviation between the trajectory of the wheels and the trajectory of the antennas must be taken into account.
- the vehicles are not oriented to optically or radar / lidar detectable features, such as
- Curbs or road markings but at vectorially recorded, high-precision and interference transmitted over short-range radio
- locating the signals are coded in a preferred embodiment of the invention so that a direction finding and one or more alsmodulators signals for distance determination can be used as a direction finding, so that even with only one transmitter in the receiving area an accurate
- Position determination is possible. For redundancy, however, all available transmission signals with cross bearings are always used.
- the vehicle In the event that a vehicle passes a location or area where a signal should be available but no signal is received, the vehicle sends a signal with an error message to the control center of the limited area.
- the transmitters described, in particular the radio transmitter are combined with a WLAN system as a network in which large areas, such as entire neighborhoods, are supplied with public WLAN.
- the individual stations are partially designed as repeaters, so that data is forwarded only from one station to the next and a separate data line can be omitted to each station.
- This WLAN data can then be used parallel to the navigation of the vehicles.
- the vehicles not only communicate with the described radio transmitters, but also with the signals from mobile phones in the immediate vicinity, so that mobile participants like other cars,
- Pedestrians and cyclists can be detected.
- the object specified above is additionally solved by the navigation device for carrying out the navigation method.
- provision is made for a plurality of stationary stations, each with a transceiver unit, to be arranged in the limited area and to be wirelessly connectable to a transceiver unit of the vehicle for data exchange and for determining the position and speed of the vehicle.
- a signal network is proposed in which short-range radio signals, which contain digitized information about the position of the transmitter, traffic situations and other data for safe vehicle guidance, are transmitted at close intervals, preferably between 10 m and 50 m.
- transmit-receive units of the stationary stations are connected to the power supply powered infrastructure elements
- City centers are based on quasi-optical signal propagation, because the driver must be able to see the traffic signs, so that a shield through
- the transceiver units of a stationary station between the base and the lighting means of the energized infrastructure element is arranged.
- the transceiver units of a stationary station for the power supply preferably have a plug which corresponds to the plug geometry of the illuminant of the energized infrastructure element.
- the transceiver unit can thus be screwed into the thread of the (earlier) bulb, which also provides the advantage that only the height of the position of the bulb ensures a secure signal transmission.
- Autonomously driving vehicles must not only have a very precise route control and position determination, especially in city traffic, but also detect obstacles on the track or already anticipate recognition technology when moving obstacles, like other road users, move on a collision course. Due to the high traffic density in city traffic, the view to such obstacles is often limited, so that even the most efficient systems provide only limited relief.
- the stationary stations have sensors which enable obstacle detection with suitable software.
- the sensors are preferably cameras radar sensors, Lidarsensoren or ultrasonic sensors.
- To power supply are the sensors connected to the power supply of the stationary stations, so that the installation cost is low.
- the obstacle detection is suitable for all applications in which one
- the sensors with a position detection and a
- Obstacle detection systems combined.
- the vehicles enter into a dialogue with the stations as soon as they reach the recorded area and get the information about any obstacles directly by radio / WLAN / NFC or similar.
- Vehicle mounted are essentially identical and thus remains the same
- Design recognition software works with making changes in one
- Observation space can be detected by digitization and / or vectorization and these changes are converted into a shape and assigned.
- a fixedly installed sensor always "sees" the same image of the observation area (sector) that changes at best through the lighting, but such changes are easily compensated by background images, daytime images and possibly seasonal images Seasonal influences are easily distinguished from changes by moving objects by the number of pixels changed is detected. Inserting twilight changes a very large proportion of pixels in the image by a very small quantitative amount per unit of time in the form of a continuous color change, whereas a vehicle entering the observation area or a pedestrian generates a high-contrast color change in a few pixel portions.
- the stationary and / or mobile system outputs a signal as a flare or acoustic horn and warns the obstacle.
- the stationary unit also recognizes radio signals from mobile phones as a decision aid in the identification of obstacles.
- the system according to the invention also detects the passage of the vehicles and thus provides a redundant feedback control of the guideway control, which is carried out by the vehicle alone or with the aid of a Beilungssystem, which is mounted in the vicinity or at the same place.
- a bypass trajectory is calculated which is a vector with offset to the mapped centerline vector plus transition radius around the
- Obstacle area is determined.
- the vehicles are thus guided on virtual rails that correspond to mathematical curves and not to point clouds with infinitely many possible variations.
- the autonomous vehicle approaches on its tour along the
- both the onboard and the stationary system balance the optimum detour route and only when the detour route agrees and clears both systems does the detour take place. Parallel to this, the bypass with time is logged to the control center.
- the present invention in contrast to the prior art, proposes a completely different operating principle, in which a vectorial and sufficiently accurate image of the surrounding reality is created and directed by an external transmission system to the vehicles such that no accuracy gap remains must be concluded with the described orientations on optical signals or radar / Lidarsignalen. Rather, the vehicles move directly on the virtual rails, which are mapped as a vectorial image of the surroundings. This is the inner perception to
- Routing ie the precise trailing of the trajectories, is possible if the data transfer between the control source and the vehicle is ensured.
- the secondary vehicle guidance that is the avoidance of obstacles and the avoidance of collisions, requires one to the invention
- mapping of the environment as well as the primary and secondary vehicle guidance takes place digitally and vectorially and no longer via pixel graphics and analogue routines.
- Fig. 1 is a limited area
- Fig. 2 is a road section.
- Fig. 1 shows a limited area 1, in which the vehicles of the fleet can drive autonomously.
- the limited area is, for example, a city or a
- the transmitting-receiving units 3 have.
- the vehicles 4 also have transceiver units 5, so that a unique position and
- Speed determination by a signal transit time measurement to at least two, three or more stationary stations is feasible.
- the vehicles can then move on the cartographic paths of the limited area 1.
Abstract
Description
Claims
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102017007984.6A DE102017007984A1 (en) | 2017-08-23 | 2017-08-23 | Navigation system for autonomous vehicles in densely populated areas |
DE102017008830.6A DE102017008830A1 (en) | 2017-09-20 | 2017-09-20 | Secondary radar for position determination and guideway control |
DE102017009338.5A DE102017009338A1 (en) | 2017-10-07 | 2017-10-07 | Sector monitoring for autonomous vehicles |
PCT/EP2018/068785 WO2019037939A1 (en) | 2017-08-23 | 2018-07-11 | Navigation method and navigation device |
Publications (1)
Publication Number | Publication Date |
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EP3673235A1 true EP3673235A1 (en) | 2020-07-01 |
Family
ID=62904474
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP18740196.3A Withdrawn EP3673235A1 (en) | 2017-08-23 | 2018-07-11 | Navigation method and navigation device |
Country Status (4)
Country | Link |
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US (1) | US20200209868A1 (en) |
EP (1) | EP3673235A1 (en) |
CN (1) | CN110869703A (en) |
WO (1) | WO2019037939A1 (en) |
Families Citing this family (2)
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WO2018117631A1 (en) * | 2016-12-21 | 2018-06-28 | Samsung Electronics Co., Ltd. | Electronic apparatus and method of operating the same |
EP3926605A4 (en) * | 2019-02-15 | 2022-02-23 | Fujitsu Limited | Dangerous place and time calculation method, dangerous place and time calculation device, and dangerous place and time calculation program |
Family Cites Families (7)
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CA2307532A1 (en) * | 1999-05-06 | 2000-11-06 | Cell-Loc Inc. | Wireless location system |
CA2554417C (en) * | 2004-02-17 | 2010-11-23 | Jadi, Inc. | Ultra wide band navigation system with mobile base stations |
WO2009070712A2 (en) * | 2007-11-27 | 2009-06-04 | Jadi, Inc. | Method and system for locating and navigating a target |
JP2009257892A (en) * | 2008-04-15 | 2009-11-05 | Sumitomo Electric Ind Ltd | Locating apparatus, locating system, locating method, and computer program |
JP2012018001A (en) * | 2010-07-06 | 2012-01-26 | Sony Corp | Positioning system, communication device, and positioning method |
US8954267B2 (en) * | 2013-02-21 | 2015-02-10 | Qualcomm Incorporated | Mobile device positioning |
CN106441319B (en) * | 2016-09-23 | 2019-07-16 | 中国科学院合肥物质科学研究院 | A kind of generation system and method for automatic driving vehicle lane grade navigation map |
-
2018
- 2018-07-11 EP EP18740196.3A patent/EP3673235A1/en not_active Withdrawn
- 2018-07-11 CN CN201880046119.9A patent/CN110869703A/en active Pending
- 2018-07-11 US US16/640,565 patent/US20200209868A1/en not_active Abandoned
- 2018-07-11 WO PCT/EP2018/068785 patent/WO2019037939A1/en unknown
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US20200209868A1 (en) | 2020-07-02 |
WO2019037939A1 (en) | 2019-02-28 |
CN110869703A (en) | 2020-03-06 |
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