WO2023232118A1 - 一种车道级导航规划方法、装置、设备、介质及车辆 - Google Patents

一种车道级导航规划方法、装置、设备、介质及车辆 Download PDF

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Publication number
WO2023232118A1
WO2023232118A1 PCT/CN2023/097883 CN2023097883W WO2023232118A1 WO 2023232118 A1 WO2023232118 A1 WO 2023232118A1 CN 2023097883 W CN2023097883 W CN 2023097883W WO 2023232118 A1 WO2023232118 A1 WO 2023232118A1
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lane
vehicle
information
road
current
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PCT/CN2023/097883
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English (en)
French (fr)
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韩佐悦
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驭势(上海)汽车科技有限公司
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Publication of WO2023232118A1 publication Critical patent/WO2023232118A1/zh

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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W60/00Drive control systems specially adapted for autonomous road vehicles
    • B60W60/001Planning or execution of driving tasks
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/3407Route searching; Route guidance specially adapted for specific applications

Definitions

  • the present disclosure relates to the field of automotive technology, and in particular, to a lane-level navigation planning method, device, equipment, medium and vehicle.
  • the technical problem to be solved by this disclosure is to solve the problem that the existing navigation system can only provide simple driving road and direction prompts based on its limited map information, and cannot provide lane-level route navigation information based on the actual road driving conditions. During the actual driving process, the driver also needs to rely on his or her own driving experience to judge the surrounding road conditions, which makes the driver unable to drive easily and freely.
  • embodiments of the present disclosure provide a lane-level navigation planning method, device, equipment, medium and vehicle.
  • an embodiment of the present disclosure proposes a lane-level navigation planning method, which includes: determining the vehicle's current positioning lane based on the vehicle's current location, map information, and vehicle-perceived road information; determining the vehicle's current position based on the vehicle's current location, destination location, and map information.
  • Lane-changing driving road area determining the reachable destination road area based on the lane-changing driving road area; determining the lane based on the vehicle's current positioning lane, the lane-changing driving road area and the reachable destination road area Navigation planning information.
  • embodiments of the present disclosure also propose a lane-level navigation planning device, including: a lane positioning module for determining the vehicle's current positioning lane based on the vehicle's current position, map information, and vehicle-perceived road information; there is no need to change lanes in the driving road area a determination module for determining a driving road area that does not require lane changes based on the current location of the vehicle, a destination location, and map information; an accessible destination road area determination module for determining an accessible destination road based on the driving road area that does not require lane changes Area; a lane navigation planning information determination module, configured to determine lane navigation planning information based on the vehicle's current positioning lane, the driving road area without changing lanes, and the reachable destination road area.
  • an embodiment of the present disclosure also provides an electronic device, including: a processor and a memory; the processor is configured to execute the steps of the method described in the first aspect by calling a program or instruction stored in the memory.
  • embodiments of the present disclosure also provide a computer-readable storage medium for storing programs or instructions.
  • the program The program or instructions cause the computer to perform the steps of the method described in the first aspect.
  • an embodiment of the disclosure further provides a vehicle, including the electronic device provided in the third aspect of the disclosure.
  • the vehicle's current positioning lane is first determined based on the vehicle's current location, map information and vehicle-perceived road information. In this way, the vehicle's current lane can be accurately positioned and the vehicle's current position can be obtained. Locate the lane. Then, based on the current position of the vehicle, the destination position and the map information, the driving road area without lane change is determined, and the destination road area is determined based on the driving road area without lane change.
  • the road area where the vehicle does not need to change lanes is an area where the vehicle does not need to change lanes when traveling from the current location to the destination location determined based on the map information.
  • the road area that can reach the destination includes all road areas that can reach the destination location, that is, it includes the road area where there is no need to change lanes, and it also includes the road areas where lane changing operations are required.
  • the lane navigation planning information can be determined based on the vehicle's current positioning lane, the area of the road that does not require lane change, and the area of the road that can reach the destination.
  • the lane navigation planning information is specific to the lane level.
  • the lane navigation planning information can be obtained without the driver having to deal with complex road conditions or planning the vehicle's driving route, thereby effectively reducing the driver's decision-making pressure and improving Vehicle driving safety.
  • Figure 1 is a schematic flowchart of a lane-level navigation planning method provided by an embodiment of the present disclosure
  • Figure 2 is a schematic flowchart of yet another lane-level navigation planning method provided by an embodiment of the present disclosure
  • Figure 3 is a schematic flowchart of yet another lane-level navigation planning method provided by an embodiment of the present disclosure
  • Figure 4 is a schematic diagram of map data matrix reorganization provided by an embodiment of the present disclosure.
  • Figure 5 is a schematic planning diagram of a driving road area without changing lanes provided by an embodiment of the present disclosure
  • Figure 6 is a schematic planning diagram of a road area accessible to a destination provided by an embodiment of the present disclosure
  • Figure 7 is a schematic diagram of vehicle sensing road information provided by an embodiment of the present disclosure.
  • Figure 8 is a schematic diagram of a lane-level navigation planning method provided by an embodiment of the present disclosure.
  • Figure 9 is a structural block diagram of a lane-level navigation planning device provided by an embodiment of the present disclosure.
  • Figure 10 is a schematic structural diagram of an electronic device provided by an embodiment of the present disclosure.
  • Figure 11 is a structural block diagram of a vehicle provided by an embodiment of the present disclosure.
  • Figure 1 is a schematic flow chart of a lane-level navigation planning method provided by an embodiment of the disclosure. As shown in Figure 1, the lane-level navigation planning method provided by an embodiment of the disclosure includes S110 to S140:
  • S110 Determine the vehicle's current positioning lane based on the vehicle's current location, map information and vehicle-perceived road information.
  • the vehicle can be equipped with a positioning device, and the current location of the vehicle can be obtained through the positioning device.
  • a positioning device For example: Global Positioning System (Global Positioning System, GPS) positioning device, high-precision satellite positioning device, inertial measurement unit (Inertial Measurement Unit, IMU), etc.
  • the global positioning system positioning device can obtain satellite signals, calculate the longitude and latitude information in real time, and determine the vehicle's current location information based on the longitude and latitude information.
  • the high-precision satellite positioning device can obtain sub-meter-level positioning information of the current vehicle in real time.
  • the positioning information includes but is not limited to the longitude, latitude, altitude, and heading angle of the vehicle.
  • the current location of the vehicle may include, for example, the road on which the vehicle is located and the direction of travel.
  • the lane model After determining the road and driving direction of the vehicle, you can read the total number of lanes corresponding to the current road, information about whether there are emergency lanes, etc. based on the map information (for convenience of description, it will be collectively referred to as the lane model in the following).
  • the vehicle can also be equipped with a collection device, and the vehicle's perceived road information can be obtained through the collection device.
  • Collection devices include but are not limited to cameras, lidar, etc.
  • the camera may be, for example, a forward-looking camera installed in the front windshield of the vehicle.
  • the collection device in this embodiment can collect vehicle-perceived road information.
  • the vehicle's perceived road information includes, but is not limited to, perceived lane line information, perceived road boundary information, and surrounding vehicle information.
  • the perceived lane line information may include, for example, the lateral distance, slope, curvature, line type (solid line, dotted line), effective length, etc. of the lane line.
  • the perceived road boundary information may include, for example, the lateral position, slope, curvature, and effective length of the guardrail.
  • the surrounding vehicle information may include, for example, the longitudinal position, lateral position, longitudinal vehicle speed, etc. of the moving vehicle.
  • Vehicle-perceived road information refers to the real road information near the location of the vehicle
  • the current location information of the vehicle is first obtained, the lane model corresponding to the map information is searched based on the current location information of the vehicle, and then which lane of the lane model the vehicle is currently in is preliminarily determined based on the vehicle's perceived road information. For example, based on the current location information of the vehicle and the map information, it is determined that the lane model corresponding to the road where the vehicle is currently located is 3 lanes.
  • the perceived lane markings in the vehicle's perceived road information are, from left to right, the second left lane markings are solid lines, the first left lane markings are dotted lines, the first right lane markings are dotted lines, and the second right lane markings are solid lines. Based on the above-mentioned perceived lane line information and lane model, it is initially determined that the vehicle is currently in the middle lane of the lane model, that is, the currently positioned lane is the middle lane.
  • S120 Determine the road area where lane change is not required based on the vehicle's current location, destination location and map information.
  • a road area that does not require a lane change from the current location of the vehicle to the destination location is determined based on the map information.
  • the road area that does not require a lane change means that the vehicle can drive in this area without performing a lane change operation.
  • S130 Determine the reachable destination road area based on the driving road area without changing lanes.
  • the destination-reachable road area is a road area that can reach the destination location. Due to the complexity of actual roads, vehicles need to change lanes when driving in some areas to reach their destination. Therefore, the reachable destination road area includes all road areas that can reach the destination location, that is, including the road areas for driving without changing lanes, and the road areas that require lane changing operations.
  • S140 Determine the lane navigation planning information based on the vehicle's current positioning lane, the road area where lane changes are not required, and the road area where the destination can be reached.
  • the lane navigation planning information includes, for example, lane route planning information and vehicle speed planning information for the vehicle to reach the destination position in the current positioning lane. Because the vehicle can reach the destination location by traveling on a road area that does not require lane changes or a road area that can reach the destination. Therefore, based on the current positioning lane of the vehicle, the road area where lane changes are not required, and the road area where the destination can be reached, lane-level route decisions and/or vehicle speed decisions can be determined for the route between the vehicle and the destination location.
  • the embodiment of the present disclosure first determines the vehicle's current positioning lane based on the vehicle's current position, map information and vehicle-perceived road information. In this way, the vehicle's current positioning lane can be accurately positioned and the vehicle's current positioning lane can be obtained. Then, based on the current position of the vehicle, the destination position and the map information, the driving road area without lane change is determined, and the destination road area is determined based on the driving road area without lane change.
  • the road area where the vehicle does not need to change lanes is an area where the vehicle does not need to change lanes when traveling from the current location to the destination location determined based on the map information.
  • the road area that can reach the destination includes all road areas that can reach the destination location, that is, it includes the road area where there is no need to change lanes, and it also includes the road areas where lane changing operations are required.
  • the lane navigation planning information can be determined based on the vehicle's current positioning lane, the area of the road that does not require lane change, and the area of the road that can reach the destination.
  • the lane navigation planning information is specific to the lane level, and the lane can be obtained without the driver having to deal with complex road conditions or planning the vehicle's driving route. Navigation planning information, thereby effectively reducing the driver's decision-making pressure and improving vehicle driving safety.
  • S110 determines the vehicle's current positioning lane based on the vehicle's current location, map information, and vehicle-perceived road information, including, for example:
  • the lane integral table is cleared, and execution returns to generate a lane integral table based on the vehicle's current position and map information.
  • the current total number of lanes is determined based on the current location information of the vehicle and the map information.
  • the first points table generated based on the total number of lanes is an array for storing the points value of each lane.
  • Vehicle-perceived road information includes the number of lanes, lane line information, and road boundary information.
  • the integral value of each lane in the first integral table is determined based on the first integral rule corresponding to the number of lanes, the sensed lane line information and the sensed road boundary information.
  • the following is an exemplary description of the calculation method of the points value of each lane in the first point table.
  • the lane information corresponding to the location is determined from the map information, such as the number of lanes, lane line information, road boundary information, etc., and a lane points table is established. Integration calculation is performed based on the preset first integration rule, the sensed lane line information and the sensed road boundary information to determine the integral value of each lane in the lane integral table.
  • the first points rule can be set separately according to the number of lanes, for example, based on the total number of lanes, it can be divided into single lane, two lane, three lane, four lane and above.
  • road boundary information is guardrail information. Because the reliability of guardrail detection is not as reliable as that of lane lines, sometimes guardrails may not be detected. Therefore, the embodiment of the present disclosure integrates the sensed lane line information and guardrail information to perform integration.
  • the first scoring rule corresponding to the number of lanes being 1 is: if the vehicle perceives the road information as having a solid line on one side of the lane and a guardrail on the left, then points will be added to the single lane it is in. For the case where the number of lanes is 1, that is, a single lane, the perceived lane line information and guardrail information are integrated for integration. When the right lane line in the vehicle's perception of the road information is a solid line and there is a guardrail on the left, it will score extra points for the single lane it is in.
  • the first scoring rule corresponding to the number of lanes is 2: if the perceived lane line information and the perceived guardrail information are that the nearest neighbor lane line on the left is a solid line and the nearest neighbor lane line on the right is a dotted line, then the left lane will receive extra points; the perceived lane line If the information and perceived guardrail information is that there is a guardrail on the left, and the nearest neighbor lane line on the right is a dotted line, the left lane will get extra points; the perceived lane line information and the perceived guardrail information are that the nearest neighbor lane line on the right is a solid line, and the left lane is a solid line.
  • the right lane will get extra points; if the perceived lane line information and perceived guardrail information show that there is a guardrail on the right side and the nearest neighbor lane line on the left is a dotted line, then the right lane will get extra points.
  • the first scoring rule corresponding to the number of lanes being 3 is: the perceived lane line information and perceived guardrail information are: If the nearest neighbor lane lines on the left and right sides are dotted lines and there are no guardrails, then points are added to the middle lane; the perceived lane line information and perceived guardrail information are If the nearest neighbor lane line on the left is a solid line and the nearest neighbor lane line on the right is a dotted line and there is no right guardrail, then the left lane will receive extra points; the perceived lane line information and perceived guardrail information indicate that there is a guardrail on the left and the nearest neighbor lane on the right If the line is a dotted line and there is no guardrail on the right, then the left lane gets extra points; if the perceived lane line information and perceived guardrail information are that the nearest neighbor lane line on the right is a solid line, and the nearest neighbor lane line on the left is a dotted line and there is no guardrail on the left, then Bonus points for the right lane.
  • the first integration rule corresponding to the number of lanes greater than or equal to 4 is: the perceived lane line information and the perceived guardrail information are that the nearest neighbor lane line on the left is a solid line, the nearest neighbor lane line on the right is a dotted line and there is no right guardrail, then the leftmost lane Bonus points; if the perceived lane line information and perceived guardrail information are that there is a guardrail on the left, and the nearest neighbor lane line on the right is a dotted line and there is no right guardrail, then the leftmost lane will receive extra points; the perceived lane line information and perceived guardrail information are that the nearest neighbor on the right is a dotted line, and there is no right guardrail.
  • the adjacent lane line is a solid line
  • the nearest neighbor lane line on the left is a dotted line
  • there is no guardrail on the left the rightmost lane will get extra points
  • the perceived lane line information and the perceived guardrail information are that the nearest neighbor lane lines on the left and right sides are both dotted lines and If there is no guardrail, the perceived lane line information and the perceived guardrail information will be compared with the lane lines of the middle lanes, and points will be added to the middle lane that is consistent.
  • the integral value in the first integral table is compared with the first preset value, and the first integral value is The lane whose integral value in the sub-table is greater than the first preset value is determined to be the current positioning lane.
  • the first preset value can be set according to the requirements of the lane-level navigation planning method, and the present disclosure is not limited to this.
  • Compare the vehicle's perceived road information with the current positioning lane to determine the first mismatch integral value For example, it includes: determining the first mismatch integral value based on the second integral rule corresponding to the current positioning lane and the vehicle-perceived road information obtained in real time.
  • Different second integration rules correspond to the type of the currently positioned lane, for example, the left lane, the right lane, and the middle lane correspond to different second integration rules.
  • the second integral rule corresponding to the current positioning lane is the leftmost lane: the vehicle's perceived road information obtained in real time is that the nearest neighbor lane line on the left is a dotted line and there is no guardrail on the left, and the first mismatch integral value is increased; obtained in real time The vehicle's perceived road information is that there is a guardrail on the right side and the total number of lanes is greater than 1, and the first mismatch integral value is increased.
  • the second integral rule corresponding to the current positioning lane is the rightmost lane: the vehicle's perceived road information obtained in real time is that the nearest neighbor lane line on the right is a dotted line and there is no guardrail on the right, and the first mismatch integral value is increased; obtained in real time The vehicle's perceived road information is that there is a guardrail on the left and the total number of lanes is greater than 1, and the first mismatch integral value is increased.
  • the second integral rule corresponding to the current positioning lane being the middle lane is: the vehicle-perceived road information obtained in real time is that the distance between the second lane line on the left and the current vehicle is less than the first threshold, and the second lane line on the left is real.
  • the vehicle perceived road information obtained in real time is that the distance between the second lane line on the right and the current vehicle is less than the first threshold, and the second lane line on the right is a solid line, increase the first Mismatch integral value;
  • the vehicle's perceived road information obtained in real time indicates that there is a guardrail on the left side, and the distance between the guardrail and the current vehicle is less than the second threshold, increase the first mismatch integral value;
  • the vehicle's perceived road information obtained in real time is on the right side If a guardrail exists and the distance between the guardrail and the current vehicle is less than the second threshold, the first mismatch integral value is increased.
  • the second preset value can be set according to the requirements of the lane-level navigation planning method, and the present disclosure is not limited to this.
  • the embodiment of the present disclosure returns to the operation of generating a lane integral table based on the current location of the vehicle and map information.
  • the disclosed embodiment first performs initial lane positioning based on the vehicle's current location information, vehicle-perceived road information and map information, first determines the current positioning lane, and then monitors the lane positioning, and combines the vehicle-perceived road information obtained in real time with the current positioning lane. Compare and determine the first mismatch integral value. If the first mismatch integral value is greater than the second preset value, it means that the positioning lane positioning at this time has failed and the positioning lane needs to be re-determined. Then, the positioning will be re-determined based on the vehicle's current position information, vehicle-sensing road information and map information. Lane.
  • the embodiment of the present disclosure does not require the use of RTK for high-precision positioning, so the implementation cost is low.
  • the first mismatch integral value is also determined by comparing the vehicle-perceived road information obtained in real time with the current positioning lane. , continuously monitor whether the positioning lane is correct, and after the first mismatch integral value is greater than the second preset value, the current positioning lane is first determined based on the vehicle's current position information, the vehicle's perceived road information, and the map information. Therefore, compared with the existing technology that only matches the lane line type and map information sensed by the camera, the stability and anti-interference ability of lane positioning can be improved.
  • the vehicle-perceived road information may also include surrounding vehicle information, the number of lanes in the map information corresponding to the vehicle's current location information, and determined based on the first integration rule corresponding to the number of lanes, lane line information, and guardrail information.
  • the points value of each lane in the first point table it may also include: updating the point value of each lane in the lane point table based on the third points rule corresponding to the number of lanes and the surrounding vehicle information.
  • Embodiments of the present disclosure can also correct the points value of each lane in the lane points table based on the sensed surrounding vehicle information.
  • Surrounding vehicle information can be obtained through cameras, lidar and other devices, and lanes that meet the conditions can be scored accordingly according to the third scoring rule corresponding to the number of lanes, and the score value of each lane in the lane score table can be updated.
  • the third scoring rule corresponding to the number of lanes is 2: the surrounding vehicle information is to identify a moving vehicle on the left and the lateral distance from the current vehicle is greater than the second threshold, then points are added to the right lane; the surrounding vehicle information is to identify If there is a moving vehicle on the right side and the lateral distance to the current vehicle is greater than the second threshold, points will be added to the left lane.
  • FIG. 2 is a schematic flowchart of yet another lane-level navigation planning method provided by an embodiment of the present disclosure.
  • S110 determines the vehicle's current positioning lane based on the vehicle's current location, map information, and vehicle-perceived road information. Examples include:
  • the positioning credibility of the vehicle's current position is greater than the preset credibility threshold, determine the current positioning lane based on the vehicle's current position and map information; otherwise, the vehicle's current position in the map information corresponds to the road information and the vehicle's perceived road information. Comparison generates a second integral table, and determines a lane with an integral value greater than a third preset value in the second integral table as the current positioning lane.
  • the vehicle can determine the current location of the vehicle through a positioning device.
  • a positioning device For example, a high-precision satellite positioning device can be used to obtain high-precision map information. Based on the high-precision map information, the vehicle's current location can be determined, which can not only improve the reliability of the positioning of the vehicle's current location. Spend.
  • more precise navigation planning can be obtained based on high-precision map information to reduce the driver's decision-making pressure.
  • high-precision map information can achieve higher positioning stability and anti-interference capabilities, ensuring that the navigation planning system can operate stably.
  • the positioning credibility of the vehicle's current position is judged.
  • the positioning credibility of the vehicle's current position is greater than the preset credibility threshold, it indicates the vehicle's current position at this time. If the judgment is accurate, the current positioning lane can be determined based on the current location of the vehicle and map information.
  • the positioning credibility of the vehicle's current position is less than or equal to the preset credibility threshold, it means that the judgment of the vehicle's current position is inaccurate at this time.
  • the corresponding road information of the vehicle's current position in the map information is compared with the vehicle's perceived road information. A second points table is generated.
  • the lane information corresponding to the position is determined from the map information, such as the number of lanes, lane line information, road boundary information, surrounding vehicle information, etc., and a second points table is established.
  • the road information corresponding to the current position of the vehicle in the map information and the road information perceived by the vehicle are compared according to the preset scoring rules to generate a second points table.
  • the lane whose integral value in the second integral table is greater than the third preset value is determined as the current positioning lane.
  • the preset integration rule may be, for example, at least one calculation method among lane line information matching integration calculation, road boundary information matching integration calculation, and surrounding vehicle information matching integration calculation.
  • the third preset value can be set according to the requirements of the lane-level navigation planning method, and the present disclosure is not limited to this.
  • the step of updating the vehicle's current positioning lane includes: comparing the vehicle's perceived road information and the current positioning lane according to a preset integration rule, and determining the second mismatch integral value of the current positioning lane.
  • the second mismatch integral value is greater than the fourth preset value, it means that the actual driving lane of the vehicle has changed at this time, and the currently positioned lane corresponding to the second mismatch integral value in the lane integral table is no longer the actual driving lane of the vehicle. lane, so return to execute the judgment that the positioning credibility of the vehicle's current position is greater than the preset credibility threshold, and re-determine the vehicle's current positioning lane.
  • the fourth The preset value is set according to the requirements when the vehicle's current positioning lane is actually determined, and the present disclosure is not limited to this.
  • the disclosed embodiment first uses a high-precision satellite positioning device to obtain high-precision map information, obtains the current position of the vehicle based on the high-precision map information, and then determines the positioning credibility of the vehicle's current position.
  • the positioning credibility of the vehicle's current position is greater than the predetermined
  • the credibility threshold it means that the judgment of the current position of the vehicle at this time is accurate, and the current positioning lane can be determined based on the current position of the vehicle and map information.
  • the second mismatch integral value is also determined by comparing the vehicle-perceived road information obtained in real time with the current positioning lane, Continuously monitor whether the positioning lane is correct, and after the second mismatch integral value is greater than the fourth preset value, re-determine that the positioning credibility of the vehicle's current position is greater than the preset credibility threshold. Therefore, lane positioning can be monitored in real time and the accuracy of lane positioning can be improved.
  • generating a second points table by comparing the corresponding road information of the vehicle's current position in the map information with the vehicle's perceived road information in step S112 also includes:
  • the second points table is generated based on at least one of the positional relationship between the lane lines and the positional relationship between the surrounding vehicle information in the vehicle's perceived road information and the vehicle's current position in the map information.
  • the road information corresponding to the current position of the vehicle in the map information and the road information perceived by the vehicle are compared according to the preset scoring rules to generate a second points table.
  • the preset integration rule may be, for example,
  • the lane line information may include, for example, the lateral distance, slope, curvature, line type (solid line, dotted line), effective length, etc. of the lane line.
  • the lane line information matching points are calculated by comparing the lane line information of the vehicle's current location with the lane line information on the map information corresponding to the vehicle's location. The lane line information of the current location of the vehicle is obtained based on the vehicle acquisition device.
  • the lane line information corresponding to the vehicle on the map information is obtained. Compare the lane line information of the vehicle's current position with the lane line information on the map information and calculate the points.
  • the process of comparing and calculating points can be as follows: if the front camera in the vehicle collection device senses the four lane lines on both sides of the lane to be calculated as valid lane lines, compare the lanes one by one from right to left. The matching degree of line information. How many lane lines are matched will be integrated by the counter set on the lane until all lanes are compared. For example: the current vehicle lane is 4 lanes, and each lane has a counter corresponding to it on the map information.
  • the lane lines from left to right are "real, virtual, virtual, virtual, real".
  • the lane line information on the map information is "real, virtual, virtual”. Since the four lane lines on both sides of the lane sensed by the front-view camera are valid lane lines, the integral calculation for each lane is based on the four lane lines sensed and the "real and virtual” on the map information. "Compare, and add 1 point for each lane line that matches. For example, for the right lane 1, the four lane lines sensed by the front-view camera are "virtual, virtual, and solid 0".
  • the "real, virtual, virtual, and virtual” on the map information are compared with the "virtual, virtual, and solid 0" sensed by the right lane 1.
  • the second "virtual” can be matched.
  • 1 point is added to the counter corresponding to lane 1 on the right. Since there are no lane lines further to the right in lane 1 on the right, the rightmost lane line perceived by the front-view camera is recorded as 0.
  • the 4 lane lines perceived by the front-view camera are "virtual, virtual, virtual and real", then the "real, virtual, virtual and real” on the map information is different from the "virtual, virtual, virtual and real” perceived by the 2 lanes on the right.
  • the second "virtual” and the third “virtual” can be matched.
  • 2 points are added to the counter corresponding to the 2 lanes on the right.
  • the 4 lane lines perceived by the front-view camera are "real, virtual, virtual”, then the "real, virtual, virtual” on the map information is different from the "real, virtual, virtual” perceived by the 2 lanes on the left
  • all 4 lane lines can be matched.
  • 4 points are added to the counter corresponding to the 2 lanes on the left.
  • Lane lines add 2 points to the counter corresponding to lane 1 on the left. To sum up, the counter for lane 1 on the left is 2 points, the counter for lane 2 on the left is 4 points, the counter for lane 1 on the right is 1 point, and the counter for lane 2 on the right is 2 points.
  • the bonus points corresponding to each lane line can be, for example, 1, 2, 3, etc., and the bonus points corresponding to each lane line can be calculated according to the needs of the actual points calculation. settings, this disclosure does not limit this.
  • the lane line when determining the lane line information of the current position of the vehicle, when the effective length of the lane line is long and the lateral position, slope, and curvature are within a reasonable range, the lane line can be determined to be an effective lane line. This can improve the accuracy of lane line information matching integral calculation.
  • the preset integration rule may be, for example, The road boundary information matching integral calculation is performed.
  • the road boundary information may include, for example, the lateral position, slope, curvature, effective length, line type, etc. of the road boundary. If the front-view camera senses the road boundary with high reliability and long effective length, and the lateral position, slope, and curvature are within a reasonable range, points will be given to the corresponding lane based on the position of the road boundary.
  • the counter of the left 2 lanes can add 3 points, for example.
  • the position width setting of the road boundary and the corresponding increased score can be set according to the weight requirements of the actual road point calculation, which is not limited in this disclosure.
  • the preset integration rule may be, for example, to carry out the surrounding vehicle information.
  • surrounding vehicle information may include, for example, the longitudinal position, lateral position, longitudinal speed of the moving vehicle, etc.
  • points will be deducted for mismatched lanes based on the positional relationship between surrounding vehicles and lane lines. For example, if a moving surrounding vehicle appears between the first right lane mark and the second right lane mark, it can be judged that the vehicle cannot be in the right lane mark. At this time, the counter corresponding to the right lane mark will be deducted.
  • the specific fraction value to be subtracted can be set according to the needs of actual integral calculation, and this disclosure does not limit this.
  • the preset integration rule may be, for example, at least one calculation method selected from lane line information matching integration calculation, road boundary information matching integration calculation, and surrounding vehicle information matching integration calculation. This can provide a variety of methods for calculating the second points table, and can accurately calculate the second point table based on the vehicle's perceived road information, so that the vehicle's current lane can be accurately positioned in the future.
  • step S113 compares the corresponding road information of the current positioning lane in the map information with the vehicle-perceived road information and determines the second mismatch integral value, for example, it also includes:
  • the current second mismatch integral value is cleared to zero.
  • the current positioning lane can be determined based on the vehicle's current position and map information. At this time, the current second mismatch integral value is cleared to zero.
  • the current positioning lane needs to be detected in real time so that the current positioning lane can be updated in real time. Since the vehicle is always in motion, the vehicle's lane may have changed before each update of the vehicle's current position. Then the current positioning lane will be determined based on the second mismatch integral value in the original lane integral table. The judgment is wrong. Therefore, in this embodiment, after judging that the positioning reliability of the vehicle's current position is greater than the preset credibility threshold, the current second mismatch integral value is cleared to zero.
  • step S113 compares the corresponding road information of the current positioning lane in the map information with the vehicle-perceived road information, and determines the second mismatch integral value. For example, it also includes:
  • the second mismatch integral value is determined based on at least one of the positional relationship between the lane lines in the information and the positional relationship between the surrounding vehicle information in the vehicle's perceived road information and the vehicle's current position in the map information.
  • the lane line information corresponding to the road information in the map information based on the vehicle's current position is compared and calculated with the lane line information in the vehicle's perceived road information.
  • the calculation method is the preset integration rule described in the embodiment of the present disclosure.
  • Lane line information matching integral calculation method A method for matching the positional relationship between the road boundary corresponding to the road information of the vehicle's current position in the map information and the lane line in the vehicle's perceived road information. This method is a point matching point for the road boundary information in the preset integration rules described in the embodiment of the present disclosure.
  • Calculation method A method for matching the positional relationship between the surrounding vehicle information in the vehicle's perceived road information and the vehicle's current position in the lane line in the map information.
  • This method is a scoring calculation method for matching surrounding vehicle information in the preset scoring rules described in the embodiments of the present disclosure. And it has the same beneficial effects as the preset integration rules described in the embodiments of the present disclosure. To avoid repetition, they will not be described again here.
  • the lane-level navigation planning method also includes: if it is determined that the current positioning lane has changed based on the current position of the vehicle and map information, judging that the positioning credibility of the current position of the vehicle is greater than a preset credibility threshold, updating The current positioning lane; otherwise, when the vehicle changes lanes based on the vehicle's sensed road information, the current positioning lane is updated.
  • a high-precision satellite positioning device can be used to accurately locate the vehicle's current position.
  • the vehicle's current position is determined to change through the high-precision satellite positioning device, it is necessary to determine whether the positioning credibility of the vehicle's current position is greater than the preset credibility threshold.
  • the positioning credibility of the vehicle's current position is greater than the preset credibility threshold, it means that the judgment of the vehicle's current position is accurate, and the current positioning lane is updated.
  • the positioning credibility of the vehicle's current position is less than or equal to the preset credibility threshold, it means that the judgment of the vehicle's current position is inaccurate at this time, and it is determined whether the vehicle changes lanes based on the vehicle's perceived road information. Since the front-view camera of the vehicle's acquisition device can sense that the four lane lines on both sides of the lane are effective lane lines, when the front-view camera senses that the effective lane lines have a collective position jump, it can be determined that the lane the vehicle is traveling in may have changed. Therefore the current positioning lane can be updated.
  • the technical solution provided by the embodiments of the present disclosure can use a high-precision satellite positioning device to determine whether the current positioning lane has changed.
  • a lane change is detected, it is determined whether the positioning credibility of the vehicle's current position is greater than the preset credibility threshold. , can effectively and accurately confirm whether the lane has changed, so as to prevent positioning errors from affecting the positioning of the lane.
  • the positioning credibility is less than or equal to the preset credibility threshold, it means that the judgment of the current position of the vehicle at this time is inaccurate.
  • the precise control does not rely on the driving experience of the personnel, which can effectively reduce the driver's decision-making pressure and improve the safety of vehicle driving.
  • S110 determines the vehicle's current positioning lane based on the vehicle's current location, map information, and vehicle-perceived road information. For example, it also includes:
  • the first points table or the second points table is cleared to zero.
  • the vehicle uses a positioning device to obtain the vehicle's current location information, and uses a collection device to obtain the current lane number information, and compares the current lane number information with the lane number information at the corresponding location on the map information.
  • a positioning device to obtain the vehicle's current location information
  • a collection device to obtain the current lane number information
  • FIG. 3 is a schematic flowchart of yet another lane-level navigation planning method provided by an embodiment of the present disclosure.
  • step S120 determines the driving road area where lane change is not required based on the vehicle's current location, destination location, and map information, for example, including the following steps:
  • a navigation route from the current location of the vehicle to the destination location is determined on the map information.
  • the lane-level navigation planning device will follow the high-precision map industry communication standards. Map information with the same attributes is sent in segments. In the high-precision map industry communication standards, for example, map information is divided into different attributes based on the number of lanes, lane lines, speed limits, etc. Since map information with different attributes is sent in segments, this will lead to inconsistencies in the coordinates of the map information with different attributes. Therefore, the map information corresponding to the navigation route needs to be reorganized and segmented to form a map data matrix, so that the map data matrix Segment information with different attributes is located in the same coordinate matrix, and the road information along the driving direction in the same segment is the same.
  • reorganizing and segmenting the map information corresponding to the navigation route to form a map data matrix means putting the data of different attributes into a coordinate matrix, and the map data matrix is the segmented information of different attributes corresponding to the navigation route after reorganization and segmentation.
  • Reorganizing segmentation means first unifying segmentation information with different attributes into the same coordinate matrix, and then dividing data with the same road information along the driving direction into the same segmentation information.
  • the same road information along the driving direction in the same segment means that the road information with the same attribute in the same segment is the same. For example, the number of lanes in the same section is 3 or the speed limit is 70, etc.
  • the number of lanes in the same segment information is 2, and the lane lines are all "real and virtual". Avoid the situation where the number of lanes is 2 and the lane lines include "real, virtual, virtual,” and "real, virtual, real, and virtual” in the same segment information, because the map data matrix cannot reflect the differences between different roads along the vehicle's driving direction. Therefore, it is necessary to put data with the same road information along the vehicle traveling direction in the same segment in the map data matrix, so that the connection relationship between different road segments can be determined later.
  • step S122 the road information along the traveling direction in the same segment in the map data matrix is the same.
  • the map data matrix needs to be reorganized to generate a map space matrix, and directly within each segmented data in the map space matrix. Connected lane alignment settings. In this way, the actual lane location, connectivity, lane number, lane line type and other information can be faithfully reflected in the map space matrix.
  • the map space matrix is complete lane map information.
  • Figure 4 is a schematic diagram of map data matrix reorganization provided by an embodiment of the present disclosure.
  • the left side of the figure is a map data matrix formed by reorganizing and segmenting the map information corresponding to the navigation route.
  • the map data matrix includes 3 consecutive segmented data, in which the first segment of data includes 4 lanes, from left to right, lane A1, lane A2, lane A3, and lane A4.
  • the second segment of data includes 1 lane, which is the leftmost lane B1.
  • the third segment of data includes 3 lanes, from left to right, lane C1, lane C2, and lane C3.
  • the leftmost lane A1 in the first segment of data is connected to the leftmost lane B1 in the second segment of data
  • the leftmost lane B1 in the second segment of data is connected to the leftmost lane B1 in the third segment of data.
  • the leftmost lane C1 in the data is connected.
  • the map data matrix is reorganized to generate a map space matrix, and the directly connected lanes within each segmented data in the map space matrix are aligned and set.
  • the connection relationships between lanes in different segmented data include connected connections and through connections. Vehicles driving on direct connecting roads do not need to change lanes. Lane changes are required between connected lanes to connect roads.
  • the rightmost lane A4 in the first segment of data is directly connected to the leftmost lane B1 in the second segment of data.
  • the leftmost lane B1 in the second segment of data is directly connected to the leftmost lane C1 in the third segment of data.
  • lane A1, lane A2, and lane A3 in the first segment of data are connected to the leftmost lane B1 in the second segment of data.
  • Vehicles need to perform lane changing operations between the connected lanes to achieve continuity. travel.
  • the lane line type between the lanes in the connected segmented data is dotted line, and vehicles can perform lane changing operations on the dotted lane line.
  • the leftmost lane B1 in the second segment of data is connected to lane C2 and lane C3 in the third segment of data.
  • the map space matrix is a complete lane map information that can faithfully reflect the actual lane position, connection relationship, lane number, lane line type and other information.
  • the map space matrix is used to determine the road area where the vehicle does not need to change lanes from the current location to the destination location, and the vehicle can drive within the area of the road where the vehicle does not need to change lanes without performing a lane change operation.
  • the technical solution provided by the embodiments of the present disclosure forms a map data matrix by reorganizing and segmenting the map information corresponding to the navigation route. matrix, and then reorganizes the map data matrix according to the lane connection relationship to form a map space matrix, so that accurate map information can be obtained. Then based on the map space matrix, the road area without lane change is determined. This ensures that the resulting road area without changing lanes is more accurate.
  • S124 determines the driving road area without changing lanes based on the corresponding lane of the destination location in the map space matrix and the lane line information of the map space matrix, including, for example:
  • the initial driving road area that does not require lane changing will be extended by one lane to one side of the dotted lane line; from the current position of the vehicle From now on, the extended lane length is the difference between the dotted lane line and the distance required to change lanes;
  • the expanded initial driving road area that does not require lane changing will be extended by one to one side of the dotted lane line.
  • the expanded initial driving road area without changing lanes does not have any side lane line type is a dotted line and the length is greater than the distance required for lane changing, and the driving road area without lane changing is obtained.
  • Figure 5 is a planning schematic diagram of a driving road area without lane changes provided by an embodiment of the present disclosure.
  • the driving road area without lane changes is determined from a map space matrix.
  • the map space matrix includes 3 segments of data. .
  • the first segment of data includes 4 lanes, from left to right, lane A1, lane A2, lane A3, and lane A4.
  • the second segment of data includes 4 lanes, which are the leftmost lane B1, lane B2, lane B3, and lane B4.
  • the third segment of data includes 4 lanes, from left to right, lane C1, lane C2, lane C3, and lane C4.
  • the lane corresponding to the destination position 2 in the map space matrix is used as the initial driving road area without changing lanes.
  • the lanes corresponding to the destination position 2 in the map space matrix are lane C2, lane B2 and lane A2.
  • the lane line types on both sides of the initial lane change-free driving area are judged.
  • Lane line types include dashed lines and solid lines.
  • the dotted line indicates that vehicles can change lanes on this lane, that is, vehicles in the lanes surrounding the road area that do not need to change lanes initially can change lanes and drive to a road area that does not require lane changes.
  • Driving road area Within the dotted line range of the road area that does not require a lane change, vehicles in the surrounding lanes can change lanes and drive to the road area that does not require a lane change. Therefore, the length of the dotted line of the road area that does not require a lane change determines the distance of the variable lane.
  • certain conditions are required to successfully change lanes.
  • the distance required for lane changing is the shortest distance required for the vehicle to successfully change lanes.
  • a distance required for lane change can be preset in the lane-level navigation planning device according to the vehicle model, vehicle speed, etc.
  • the distance required for lane change can be, for example, a data range or a specific value, and the present disclosure is not limited to this.
  • the initial area of the road that does not require a lane change will be extended by one lane to one side of the dotted lane line.
  • the length of the dotted lines on both sides of lane C2, lane B2 and lane A2 is judged.
  • the length of the dotted lines on the left side of lane C2, lane B2 and lane A2 is x+y +z
  • the length of the dotted lines on the right side of lane C2, lane B2 and lane A2 is y+z.
  • the length of the lanes expanding to the left are lane C1, lane B1 and lane A1, and the lanes expanding to the right are lane B3 and lane A3.
  • the length of the lanes where lane C2, lane B2 and lane A2 expand to the left is the difference between the length of the dashed lane line on the left side of lane C2, lane B2 and lane A2 and the distance required for lane change. value, that is, the difference between x+y+z and the distance required to change lanes, and the dotted lane line of the left-expanding lane starts from the vehicle's current position.
  • the current position of the vehicle corresponds to point P1.
  • the distance between point P1 and point P2 along the dotted lane line is the length of the lane extending to the left. Therefore, as shown in Figure 5, the lanes in which lane C2, lane B2 and lane A2 expand to the left are lane C1, lane B1 and lane A1 between point P1 and point P2.
  • the length of the rightward expansion lane of lane C2, lane B2 and lane A2 is the difference between the length of the dashed lane line on the right side of lane C2, lane B2 and lane A2 and the distance required for lane change, That is, y+z and what is needed for lane change
  • the difference between the distances and the dotted lane markings of the lane extending to the right start from the vehicle's current position.
  • the current position of the vehicle corresponds to point P3.
  • the distance between point P3 and point P4 along the dotted lane line is the length of the lane extending to the right. Therefore, as shown in Figure 5, the lanes in which lane C2, lane B2 and lane A2 expand to the right are lane B3 and lane A3 from point P3 to point P4.
  • the vehicle cannot perform a lane change operation between lane C3 on the right side of lane C2 and lane C2.
  • the expanded initial driving road area without lane changing is lane C1, lane B1, lane A1, lane B3 and lane A3.
  • the types of lane lines on both sides of the expanded initial driving road area without lane changing are judged, such as As shown in Figure 5 , that is, the lane line types on the right side of lane B3 and lane A3 are judged, and the lane line types on the left side of lane C1, lane B1, and lane A1 are judged.
  • the lane marking type on the left side of lane C1, lane B1 and lane A1 is solid line
  • the lane marking type on the right side of lane B3 and lane A3 is dotted line.
  • the lane line type on the right side of lane B3 and lane A3 is a dotted line.
  • the length of the dotted line is the difference between y+z and the distance required for lane change.
  • the extended lane length is the difference between the length of the dotted lane line on the right side of lane B3 and lane A3 and the distance required to change lanes, that is, the difference between y+z and 2 times the distance required to change lanes.
  • the current position of the vehicle corresponds to point P5.
  • the distance between points P5 and P6 along the dotted lane line is the length of the lane extending to the right.
  • the lanes extending to the right of lane B3 and lane A3 are Lane A4 from point P5 to point P6.
  • the technical solution provided by the embodiment of the present disclosure is to use the lane corresponding to the destination location in the map space matrix as the initial driving road area without changing lanes, and then gradually expand the initial driving road area without changing lanes according to the length of the dotted lines on both sides of the initial driving road area without changing lanes.
  • the operation is simple and easy to implement, and the range of the road area without driving can be accurately divided on the map space matrix.
  • S130. Determine the reachable destination road area based on the driving road area without lane change, for example, including:
  • the road area where there is no need to change lanes will be extended by one lane to the dotted lane line until the expanded lane line is no longer needed.
  • the lane line types on both sides of the lane-changing road area are solid lines, and the road area that can reach the destination is obtained.
  • Figure 6 is a schematic planning diagram of a road area accessible to a destination provided by an embodiment of the present disclosure.
  • the map space matrix includes three segments of data. Starting from the farthest end of the map space matrix from the current position of vehicle 1, the current position of vehicle 1 is located in the first segment of data in the map space matrix, and the data at the farthest end from the current position of vehicle 1 is the third segment of data. If the lane line type on either side of the driving area without changing lanes is a dotted line, as long as it is a dotted line, lane changing can be performed. Therefore, when the lane line type on either side is a dotted line, the driving area without changing lanes will be extended by one to the dotted lane line.
  • the shaded area in Figure 6 is the final reachable destination road area.
  • the road area that can reach the destination includes all lane areas that can reach the destination, that is, it includes the area of the road that does not need to change lanes and the area that needs to change lanes to reach the destination.
  • the technical solution provided by the embodiment of the present disclosure can easily determine the reachable destination road area based on the lane line types on both sides of the road area without changing lanes.
  • the operation is simple, easy to implement, and has high accuracy.
  • S140 determines lane navigation planning information based on the vehicle's current positioning lane, the driving road area without lane change, and the reachable destination road area. For example, it also includes: based on the vehicle's current positioning lane and the driving road area without lane change. Positional relationship, and/or, positional relationship between the vehicle's current positioning lane and the reachable destination road area to determine the lane Route planning information.
  • Lane route planning information refers to the lane-level route decision of the vehicle from the current positioning lane to the destination location. Since the vehicle does not need to perform lane changes and other operations in the road area where lane changes are not required, it can reach the destination by maintaining the original driving strategy. The vehicle can finally reach the destination in the road area where the destination can be reached, and may need to perform operations such as changing lanes midway. Lane route planning information can be determined based on the positional relationship between the vehicle's current positioning lane and the road area that does not require lane changes. And/or, the lane route planning information can also be determined based on the positional relationship between the vehicle's current positioning lane and the reachable destination road area.
  • the technical solution provided by the embodiments of the present disclosure can determine lane route planning information in a variety of ways, and can provide accurate and optimal lane route planning information to vehicles based on the driving road area without changing lanes and/or the destination road area.
  • lane navigation planning information can be obtained without the driver having to deal with complex road conditions or planning the vehicle's driving route, thereby effectively reducing the driver's decision-making pressure and improving vehicle driving safety.
  • determining the lane route planning information based on the positional relationship between the vehicle's current positioning lane and the road area that does not require lane changes, and/or the positional relationship between the vehicle's current positioning lane and the reachable destination road area also includes:
  • the lane route planning information is to change lanes to the left; if the current positioning lane is located on the left side of the road area that does not require a lane change, it is determined that the lane route planning information is to the left side. Change lane right;
  • the lane route planning information is to leave the planned road.
  • the vehicle's current positioning lane Based on the vehicle's current positioning lane, it is determined whether the vehicle's current positioning lane is within the area of the road that does not require lane changes. If the vehicle's current positioning lane is within the area of the road that does not require lane changes, it means that the vehicle can reach the destination without performing operations such as lane changes at this time. location, and belongs to the optimal driving strategy, so the lane route planning information can be determined to be normal driving. If the vehicle's current positioning lane is not located within the road area where lane change is not required, it is determined whether the current positioning lane is within the road area that can reach the destination.
  • Vehicles can change lanes and enter areas where lane changes are not required. For example, it can be determined whether the current positioning lane is on the left or right side of the road area that does not require lane changes.
  • the lane route planning information is determined to be a left lane change. If the current positioning lane is located on the left side of the road area that does not require a lane change, it means that the vehicle needs to change lanes to the right and enter the road area that does not require a lane change, so the lane route planning information is determined to be a right lane change. If the current positioning lane is outside the road area that can reach the destination, it means that the vehicle has deviated and cannot reach the destination location by driving in the current lane. Therefore, the lane route planning information is determined to be leaving the planned road. It also prompts the driver that the current planned driving route has deviated. This can reduce driver distraction and improve vehicle driving safety.
  • the technical solution provided by the embodiments of the present disclosure can provide optimal lane route planning information to the vehicle based on the vehicle's current positioning lane, wireless lane changing driving road area, and reachable destination road area, so that the vehicle can stay on the road without lane changing as much as possible.
  • Regional driving can reduce vehicle lane changes and other operations, and reduce the driver's probability of responding to complex road conditions, thereby effectively reducing the driver's decision-making pressure and improving vehicle driving safety.
  • S140 determines the lane navigation planning information based on the vehicle's current positioning lane, the driving road area without changing lanes, and the reachable destination road area, for example, it also includes:
  • the vehicle speed planning information is determined based on the speed limit corresponding to the currently positioned lane and the distance between the vehicle's current position and the node to be changed.
  • both the driving road area without changing lanes and the road area that can reach the destination contain a certain number of lanes.
  • the vehicle can change lanes from the dotted line.
  • the node that needs to change lanes is the location where the vehicle needs to change lanes. For example, if there is a ramp intersection or a lane merging point on the lane, then the intersection point between the lane and the ramp intersection or the lane merging point is the node that needs to change lanes, because the vehicle must arrive at the ramp. Change lanes and exit the current lane before the intersection or lane merging point. The vehicle cannot change lanes at the ramp intersection or lane merging point. After passing the ramp intersection, the vehicle may not be able to reach the destination location, so the vehicle must be in the area before the node where the lane change is required. Change lanes while driving.
  • the vehicle When the vehicle is outside the reachable destination road area and the vehicle needs to change lanes to enter the reachable destination road area, it is determined that the vehicle needs to change lanes from the current position of the vehicle to the reachable destination road area. Vehicles can drive into the road area that can reach the destination before the node that needs to change lanes. Beyond the node where lane change is required, the vehicle cannot enter the road area where the destination can be reached. For example, the side of the destination road area close to the current position of the vehicle can be reached, and the farthest end from the position in front of the vehicle is the node that needs to change lanes.
  • the distance between the node that needs to change lanes and the current position of the vehicle is equivalent to the distance at which the vehicle can change lanes from the current position and enter the road area that can reach the destination.
  • the vehicle can change lanes and drive into the road area that can reach the destination within this distance range.
  • the vehicle When the vehicle is in a road area that can reach the destination but is not in a road area that does not require lane change, the vehicle needs to change lanes and drive into the road area that does not require lane change.
  • the node that needs to change lanes is the road node where the current position of the vehicle can enter the road area where lane change is not required.
  • the distance between the node that needs to change lanes and the current position of the vehicle is equivalent to the distance at which the vehicle can change lanes from the current position and enter the road area that does not require lane changes.
  • the vehicle can change lanes and enter the road area that does not require lane changes within this distance range.
  • the side of the road area that does not require lane change is close to the current position of the vehicle, and the farthest end from the position in front of the vehicle is the node that requires lane change.
  • the technical solution provided by the embodiment of the present disclosure can determine the vehicle speed planning information based on the speed limit corresponding to the currently positioned lane and the distance between the vehicle's current position and the node that needs to change lanes, realize prompts and control of vehicle speed, and further reduce the driver's workload. reduce decision-making pressure and improve vehicle driving safety. At the same time, it can also prevent the driver from missing the best opportunity to change lanes and drive out of the planned path, allowing the driver to drive with ease.
  • the vehicle speed planning information is determined based on the speed limit corresponding to the currently positioned lane and the distance between the vehicle's current position and the node that needs to change lanes. For example, it also includes:
  • a vehicle deceleration prompt and/or a second planned vehicle speed are generated, and the second planned vehicle speed is smaller than the speed limit corresponding to the currently positioned lane.
  • the lane-level navigation planning device can determine whether the distance between the vehicle's current position and the node that needs to change lanes is greater than the preset distance threshold. When it is greater than the preset distance threshold, it means that normal driving can be continued without changing lanes. And the speed limit corresponding to the current positioning lane is determined as the first planned vehicle speed. Since there is no need to change lanes at this time, the vehicle can drive at the speed limit corresponding to the current positioning lane. When it is less than the preset distance threshold, it means that you need to slow down and change lanes. Optional, for example, it can be flashed on the human-computer interaction display device, and the prompt text "You need to change lanes, please slow down" is displayed at the same time, accompanied by a voice. hint. At this time, the human-computer interaction display device displays the generated second planned vehicle speed, which is smaller than the speed limit of the currently positioned lane, and prompts the driver to perform a lane change operation at the second planned vehicle speed.
  • the vehicle-perceived road information collected by the collection device in the vehicle can be, for example, as shown in Figure 7.
  • Figure 7 is a schematic diagram of the vehicle-perceived road information provided by an embodiment of the present disclosure. It can be seen from Figure 7 that the vehicle-perceived road information For example, it may include the vehicle 1, the target vehicle ahead 3, the first left lane marking 4, the first right lane marking 5, the second left lane marking 6, the second right lane marking 7, the left road boundary 8, the road boundary 9, and the forward-looking camera. View boundary11.
  • the collection device in the vehicle to collect vehicle-perceived road information includes but is not limited to the following solutions:
  • the forward-looking camera can identify the nearest lane line information on the left and right sides of the vehicle, and the forward-facing millimeter wave radar can Obtain the position information of more than 10 reflection points on the guardrail within 5 meters in front of the vehicle.
  • the front-view camera can identify the nearest lane line information on the left and right sides of the vehicle, and can obtain road boundary information within 5 meters to the left and right.
  • the front-view camera can identify the nearest lane line information on the left and right side of the vehicle, as well as the second lane line information on the left and the second right lane, and can obtain road boundary information within 7 meters to the left and right.
  • the forward-looking camera can identify the nearest lane line information on the left and right sides of the vehicle, as well as the second lane line information on the left and the second right lane.
  • the forward-facing millimeter wave radar can obtain the guardrails within 7 meters in front of the vehicle. More than 10 reflection point location information.
  • Option 1 and 2 can support the initial positioning of any lane on a 3-lane road, the initial positioning of lanes on both sides of a road with more than 4 lanes, and the stable positioning and tracking of lanes within 5 lanes.
  • Option 3 and 4 can support the initial positioning of any lane on a 5-lane road, the initial positioning of lanes on both sides of a road with more than 6 lanes, and the stable positioning and tracking of lanes within 7 lanes.
  • Embodiments of the present disclosure can select appropriate collection devices such as forward-looking cameras and forward-facing millimeter-wave radars according to actual conditions to adapt to the positioning needs of the camp.
  • the lane-level navigation planning method provided by the embodiment of the present disclosure can be shown in Figure 8.
  • Figure 8 is a schematic diagram of the lane-level navigation planning method provided by the embodiment of the present disclosure.
  • the lane-level navigation planning method can perform positioning fusion method, which includes positioning initialization method and positioning monitoring method.
  • the positioning monitoring method is first used to monitor the current position of the vehicle, and then the positioning credibility of the vehicle is judged in the positioning initialization method. If the positioning credibility is greater than the preset credibility threshold, it means that the vehicle is currently If the position judgment is accurate, the current positioning lane is determined based on the vehicle's current position and map information.
  • the lane line information, road boundary information, and surrounding vehicle information are processed through the positioning initialization method. At least one method performs matching and integration to generate a second integration table, and determines a lane with an integration value greater than a third preset value in the second integration table as the current positioning lane.
  • the step of updating the vehicle's current positioning lane includes: performing a matching integral calculation on at least one of lane line information, road boundary information, and surrounding vehicle information through a positioning monitoring method to generate a second mismatch integral value.
  • the second mismatch integral value is greater than the fourth preset value, it means that the actual driving lane of the vehicle has changed at this time, and the corresponding currently positioned lane in the lane integral table is no longer the actual driving lane of the vehicle, so it returns to execute the judgment vehicle
  • the positioning credibility of the current position is greater than the preset credibility threshold, and the vehicle's current positioning lane is re-determined.
  • the fourth preset value is set based on the requirements when the vehicle's current positioning lane is actually determined, and the present disclosure is not limited to this.
  • the embodiment of the present disclosure determines the positioning credibility of the vehicle's current position.
  • the positioning credibility is high, the current positioning lane obtained through positioning can be directly used without the need for complex positioning calculations. Only perform positioning calculation when the positioning credibility is low, which can not only ensure the accuracy of positioning the current position of the vehicle, but also simplify the operation steps of the entire lane-level navigation planning method.
  • the second mismatch integral value is also determined by comparing the vehicle-perceived road information obtained in real time with the current positioning lane, Continuously monitor whether the positioning lane is correct, and after the second mismatch integral value is greater than the fourth preset value, re-determine that the positioning credibility of the vehicle's current position is greater than the preset credibility threshold. Therefore, lane positioning can be monitored in real time and the accuracy of lane positioning can be improved.
  • the positioning monitoring method can also monitor lane change information, for example. If it is determined through the positioning monitoring method that the current positioning lane has changed, the positioning credibility of the vehicle's current position is judged to be greater than the predetermined value through the positioning initialization method. When the credibility threshold is set, the current positioning lane is updated; otherwise, the vehicle-perceived road information is obtained through the positioning monitoring method, and then when the vehicle changes lanes based on the vehicle-perceived road information, the current positioning lane is updated.
  • the technical solution provided by the embodiment of the present disclosure can use the positioning monitoring method to determine whether the current positioning lane has changed.
  • a lane change it can be determined by judging whether the positioning credibility of the vehicle's current position is greater than the preset credibility threshold. Effectively and accurately confirm whether the lane has changed to prevent positioning errors from affecting the positioning of the lane.
  • the positioning credibility is less than or equal to the preset credibility threshold, it means that the judgment of the vehicle's current position at this time is inaccurate.
  • the precise control does not rely on the driving experience of the personnel, which can effectively reduce the driver's decision-making pressure and improve the safety of vehicle driving.
  • FIG. 9 is a structural block diagram of a lane-level navigation planning device provided by an embodiment of the disclosure. As shown in Figure 9, the device includes:
  • the lane positioning module 10 is used to determine the current positioning lane of the vehicle based on the current position of the vehicle, map information and vehicle-perceived road information.
  • the driving road area determination module 20 that does not require lane changing is used to determine the driving road area that does not require lane changing based on the current location of the vehicle, the destination location and map information.
  • the reachable destination road area determination module 30 is used to determine the reachable destination road area based on the driving road area without changing lanes.
  • the lane navigation planning information determination module 40 is used to determine the lane navigation planning information based on the vehicle's current positioning lane, the driving road area without changing lanes, and the reachable destination road area.
  • Figure 10 is a schematic structural diagram of an electronic device provided by an embodiment of the present disclosure, including: a processor 50 and a memory 60; the processor 50 calls the program or instructions stored in the memory 60 to execute as described in any of the above embodiments. Steps of lane-level navigation planning.
  • the electronic device may also include at least one communication interface 70 .
  • the various components in the electronic device are coupled together through a bus system 80 .
  • Communication interface 70 is used for information transmission with external devices. It can be understood that the bus system 80 is used to implement connection communication between these components.
  • the bus system 80 also includes a power bus, a control bus and a status signal bus.
  • the lane-level navigation planning provided by the embodiment of the present disclosure can be applied in the processor 50 or implemented by the processor 50 .
  • the processor 50 may be an integrated circuit chip with signal processing capabilities. During the implementation process, each step of the above method can be completed by the processor 50 calling the integrated logic circuit of hardware or instructions in the form of software in the program or instructions stored in the memory 60 .
  • the above-mentioned processor 50 can be a general-purpose processor, a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), an off-the-shelf programmable gate array (Field Programmable Gate Array, FPGA) or other available processors. Programmed logic devices, discrete gate or transistor logic devices, discrete hardware components.
  • a general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.
  • Embodiments of the present disclosure also provide a computer-readable storage medium.
  • the computer-readable storage medium stores programs or instructions.
  • the programs or instructions cause the computer to execute the steps of the various embodiments of the lane-level navigation planning method. In order to avoid repeated description, they are not described here. Again.
  • FIG. 11 is a structural block diagram of a vehicle provided by an embodiment of the present disclosure.
  • an embodiment of the present disclosure also provides a vehicle.
  • the vehicle includes the electronic device described in the embodiment of the present disclosure.
  • the electronic device includes, for example, a system host.
  • the system host includes, for example, a lane positioning module, a road area determination module that does not require lane changes, an accessible destination road area determination module, and a lane navigation planning information determination module.
  • the vehicle also includes a positioning device, and the current position of the vehicle can be obtained through the positioning device.
  • GPS Global Positioning System
  • IMU Inertial Measurement Unit
  • the global positioning system positioning device can obtain satellite signals, calculate the longitude and latitude information in real time, and determine the vehicle's current location information based on the longitude and latitude information.
  • the high-precision satellite positioning device can obtain sub-meter-level positioning information of the current vehicle in real time.
  • the positioning information includes but is not limited to the longitude, latitude, altitude, and heading angle of the vehicle.
  • the current location of the vehicle may include, for example, the road on which the vehicle is located and the direction of travel. After determining the road and driving direction of the vehicle, you can read the total number of lanes corresponding to the current road, information about whether there are emergency lanes, etc. based on the map information (for convenience of description, it will be collectively referred to as the lane model in the following).
  • the vehicle further includes a collection device, and the vehicle's perceived road information can be obtained through the collection device.
  • Collection devices include but are not limited to cameras, lidar, etc.
  • the camera may be, for example, a forward-looking camera installed in the front windshield of the vehicle.
  • the collection device in this embodiment can collect vehicle-perceived road information.
  • the vehicle's perceived road information includes, but is not limited to, perceived lane line information, perceived road boundary information, and surrounding vehicle information.
  • the perceived lane line information may include, for example, the lateral distance, slope, curvature, line type (solid line, dotted line), effective length, etc. of the lane line.
  • the sensed road boundary information may include, for example, the lateral position, slope, curvature, effective length and line type of the guardrail.
  • the surrounding vehicle information may include, for example, the longitudinal position, lateral position, longitudinal vehicle speed, etc. of the moving vehicle.
  • Vehicle-perceived road information refers to the real road information near the location of the vehicle
  • the vehicle also includes a human-computer interaction display device and a speaker.
  • the human-computer interaction display device is used to call and configure system functions for the driver, and to display the navigation planning results and necessary information of the vehicle system.
  • the invocation and configuration of the system functions include but are not limited to: turning on the navigation function, entering navigation destination information, and setting driving preferences.
  • This necessary information includes but is not limited to: visual graphics of the navigation map, road areas that do not require lane changes, road areas that can reach the destination, speed limit information, driving behavior decision results, etc.
  • the speaker can play the prompt voice sent by the vehicle system host.
  • the lane route planning information displays the corresponding information through the human-computer interaction display device, and the prompt voice is played through the speaker.
  • the vehicle obtains the vehicle-perceived road information through the collection device, the vehicle obtains the vehicle's current position and map information through the positioning device, and the host system determines the vehicle's current positioning lane based on the vehicle's current position, map information, and vehicle-perceived road information through the lane positioning module.
  • the no-lane-changing road area determination module determines the no-lane-changing road area based on the vehicle's current location, destination location, and map information.
  • the reachable destination road area determination module determines the reachable destination road area based on the driving road area without changing lanes.
  • the lane navigation planning information determination module determines the lane navigation planning information based on the vehicle's current positioning lane, the driving road area without changing lanes, and the destination road area.
  • the lane navigation planning information is then provided to the driver through a human-computer interaction display device, accompanied by voice prompts from the speaker.
  • the system host determines that the lane route planning information is to change lanes to the left.
  • the human-computer interaction display device prompts the driver to "observe the road conditions, please change lanes to the left.”
  • the human-computer interaction display device flashes the area of the road that does not require a lane change or the area of the road that can reach the destination, accompanied by a voice prompt from the speaker. .
  • the system host determines that the lane route planning information is to change lanes to the right.
  • the human-computer interaction display device prompts the driver to "observe the road conditions, please change lanes to the right.”
  • the human-computer interaction display device flashes the area of the road where there is no need to change lanes or the area of the road where the destination can be reached, accompanied by a voice prompt from the speaker. .
  • the system host determines that the current positioning lane is outside the road area that can reach the destination, indicating that the vehicle has deviated and cannot reach the destination location by driving in the current lane, so it determines that the lane route planning information is to leave the planned road.
  • the human-computer interaction display device reminds the driver that "it has deviated and is about to re-plan the route.”
  • the reachable destination road area in the human-computer interaction display device flashes and is accompanied by a voice prompt from the speaker to remind the driver of the current driving plan.
  • the course has veered off course.
  • Embodiments of the present disclosure can reduce driver distraction and improve vehicle driving safety by prompting the driver through a human-computer interaction display device and a speaker.
  • the lane navigation planning information is specific to the lane level. Lane navigation planning information can be obtained without the driver having to deal with complex road conditions or planning the vehicle's driving route, thereby effectively reducing the driver's decision-making pressure. , improve the safety of vehicle driving.
  • the vehicle's current positioning lane is first determined based on the vehicle's current position, map information and vehicle-perceived road information. In this way, the vehicle's current positioning lane can be accurately positioned and the vehicle's current positioning lane can be obtained. . Then, based on the current position of the vehicle, the destination position and the map information, the driving road area without lane change is determined, and the destination road area is determined based on the driving road area without lane change.
  • the road area where the vehicle does not need to change lanes is an area where the vehicle does not need to change lanes when traveling from the current location to the destination location determined based on the map information.
  • the road area that can reach the destination includes all road areas that can reach the destination location, that is, it includes the road area where there is no need to change lanes, and it also includes the road areas where lane changing operations are required.
  • the lane navigation planning information can be determined based on the vehicle's current positioning lane, the area of the road that does not require lane change, and the area of the road that can reach the destination.
  • the lane navigation planning information is specific to the lane level.
  • the lane navigation planning information can be obtained without the driver having to deal with complex road conditions or planning the vehicle's driving route, thereby effectively reducing the driver's decision-making pressure and improving
  • the safety of vehicle driving has strong industrial practicability.

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Abstract

一种车道级导航规划方法、装置、设备、介质及车辆,该方法包括基于车辆当前位置、地图信息以及车辆感知道路信息确定车辆当前定位车道;基于车辆当前位置、目的地位置以及地图信息确定无需变道行驶道路区域;基于无需变道行驶道路区域确定可到达目的地道路区域;基于车辆当前定位车道、无需变道行驶道路区域以及可到达目的地道路区域确定车道导航规划信息。车道级导航规划方法有效地减轻了驾驶员的决策压力,提高了车辆驾驶的安全性。

Description

一种车道级导航规划方法、装置、设备、介质及车辆
本公开要求于2022年06月01日提交中国专利局、申请号为202210618962.8、发明名称为“一种车道级导航规划方法、装置、设备、介质及车辆”的中国专利申请的优先权,其全部内容通过引用结合在本公开中。
技术领域
本公开涉及汽车技术领域,尤其涉及一种车道级导航规划方法、装置、设备、介质及车辆。
背景技术
自动驾驶已成为人类发明汽车以来的一大颠覆性创新。其影响不只体现在汽车工业,对社会发展、出行体系都存在巨大影响。随着车辆的普及,人们对车辆驾驶提出了更高的要求。目前车辆中均设置有导航系统,便于对车辆驾驶提供导航信息。然而,传统的导航系统基于其有限的地图信息只能进行简单的行驶道路及方向的提示,无法依据实际道路的行驶情况给出车道级的路线导航信息,并且在实际驾驶过程中,驾驶员还需要依靠自身的驾驶经验对周围路况进行判断,使得驾驶员无法轻松自如地驾车。
发明内容
(一)要解决的技术问题
本公开要解决的技术问题是解决现有的导航系统基于其有限的地图信息只能进行简单的行驶道路及方向的提示,无法依据实际道路的行驶情况给出车道级的路线导航信息,并且在实际驾驶过程中,驾驶员还需要依靠自身的驾驶经验对周围路况进行判断,使得驾驶员无法轻松自如地驾车的问题。
(二)技术方案
为了解决上述技术问题,本公开实施例提供了一种车道级导航规划方法、装置、设备、介质及车辆。
第一方面,本公开实施例提出一种车道级导航规划方法,包括:基于车辆当前位置、地图信息以及车辆感知道路信息确定车辆当前定位车道;基于车辆当前位置、目的地位置以及地图信息确定无需变道行驶道路区域;基于所述无需变道行驶道路区域确定可到达目的地道路区域;基于所述车辆当前定位车道、所述无需变道行驶道路区域以及所述可到达目的地道路区域确定车道导航规划信息。
第二方面,本公开实施例还提出一种车道级导航规划装置,包括:车道定位模块,用于基于车辆当前位置、地图信息以及车辆感知道路信息确定车辆当前定位车道;无需变道行驶道路区域确定模块,用于基于车辆当前位置、目的地位置以及地图信息确定无需变道行驶道路区域;可到达目的地道路区域确定模块,用于基于所述无需变道行驶道路区域确定可到达目的地道路区域;车道导航规划信息确定模块,用于基于所述车辆当前定位车道、所述无需变道行驶道路区域以及所述可到达目的地道路区域确定车道导航规划信息。
第三方面,本公开实施例还提出一种电子设备,包括:处理器和存储器;所述处理器通过调用所述存储器存储的程序或指令,用于执行第一方面所述方法的步骤。
第四方面,本公开实施例还提出一种计算机可读存储介质,用于存储程序或指令,所述程 序或指令使计算机执行第一方面所述方法的步骤。
第五方面,本公开实施例还提供一种车辆,包括本公开第三方面提供的电子设备。
(三)有益效果
本公开实施例提供的上述技术方案与现有技术相比具有如下优点:
本公开实施例提供的该车道级导航规划方法中,首先基于车辆当前位置、地图信息以及车辆感知道路信息确定车辆当前定位车道,这样可以对车辆当前所位于的车道进行准确的定位,获取车辆当前定位车道。然后基于车辆当前位置、目的地位置以及地图信息确定无需变道行驶道路区域,基于无需变道行驶道路区域确定可到达目的地道路区域。无需变道行驶道路区域为根据地图信息确定的车辆从当前位置到达目的地位置的车辆无需进行变道行驶的区域。可到达目的地道路区域包括所有可以到达目的地位置的道路区域,即包括无需变道行驶道路区域,还包括需要进行变道操作的道路区域。这样可以基于车辆当前定位车道、无需变道行驶道路区域以及可到达目的地道路区域确定出车道导航规划信息。该车道导航规划信息是具体到车道级的导航规划信息,无需驾驶员应对复杂的路况或者对车辆的驾驶路线进行规划即可以得出车道导航规划信息,从而有效的减轻驾驶员的决策压力,提高车辆驾驶的安全性。
应当理解的是,以上的一般描述和后文的细节描述仅是示例性和解释性的,并不能限制本公开。
附图说明
此处的附图被并入说明书中并构成本说明书的一部分,示出了符合本公开的实施例,并与说明书一起用于解释本公开的原理。
为了更清楚地说明本公开实施例或现有技术中的技术方案,下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍,显而易见地,对于本领域普通技术人员而言,在不付出创造性劳动性的前提下,还可以根据这些附图获得其他的附图。
图1为本公开实施例提供的一种车道级导航规划方法的流程示意图;
图2为本公开实施例提供的又一种车道级导航规划方法的流程示意图;
图3为本公开实施例提供的又一种车道级导航规划方法的流程示意图;
图4为本公开实施例提供的地图数据矩阵重组示意图;
图5为本公开实施例提供的无需变道行驶道路区域的规划示意图;
图6为本公开实施例提供的可到达目的地道路区域的规划示意图;
图7为本公开实施例提供的车辆感知道路信息示意图;
图8为本公开实施例提供的车道级导航规划方法原理图;
图9为本公开实施例提供的一种车道级导航规划装置的结构框图;
图10是本公开实施例提供的一种电子设备的结构示意图;
图11为本公开实施例提供的一种车辆的结构框图。
具体实施方式
为使本公开实施例的目的、技术方案和优点更加清楚,下面将对本公开实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例是本公开的一部分实施例,而不是全部的实施例。基于本公开中的实施例,本领域普通技术人员在没有做出创造性劳动的前提下所获得的所有其他实施例,都属于本公开保护的范围。
图1为本公开实施例提供的一种车道级导航规划方法的流程示意图,如图1所示,本公开实施例提供的车道级导航规划方法包括S110至S140:
S110:基于车辆当前位置、地图信息以及车辆感知道路信息确定车辆当前定位车道。
车辆可以设置有定位装置,车辆当前位置可以通过定位装置获取。例如:全球定位系统 (Global Positioning System,GPS)定位装置、高精度卫星定位装置、惯性测量单元(Inertial Measurement Unit,IMU)等。全球定位系统定位装置可以获得卫星信号,实时计算出经纬度信息,并根据经纬度信息确定车辆当前的位置信息。高精度卫星定位装置可以实时获取当前车辆亚米级的定位信息,该定位信息包括但不限于车辆的经度、纬度、高度、航向角。车辆当前位置例如可以包括车辆所在道路以及行驶方向等。确定车辆所在道路以及行驶方向等后,可以根据地图信息读取当前所在道路对应的车道总数信息、有无应急车道的信息等(为方便描述,后续统称为车道模型)。
车辆中还可以设置有采集装置,车辆感知道路信息可以通过采集装置获取。采集装置包括但不限于摄像头、激光雷达等。该摄像头例如可以是安装在车辆的前风挡玻璃内的前视摄像头。本实施例中的采集装置可以采集车辆感知道路信息。车辆感知道路信息包括但不限于感知车道线信息、感知道路边界信息以及周边车辆信息等。感知车道线信息例如可以包括车道线的横向距离、斜率、曲率、线型(实线、虚线)、有效长度等。感知道路边界信息例如可以包括护栏的侧向位置、斜率、曲率以及有效长度等。周边车辆信息例如可以包括运动车辆的纵向位置、横向位置、纵向车速等。车辆感知道路信息是指采集装置实时获取的车辆所处位置附近的真实的道路信息。
示例性地,先获取车辆当前位置信息,根据车辆当前位置信息查找地图信息所对应的车道模型,然后再根据车辆感知道路信息初步确定车辆当前处于车道模型的哪个车道。例如,根据车辆当前位置信息以及地图信息,确定车辆当前所在道路对应的车道模型为3车道。车辆感知道路信息中的感知车道线信息从左至右依次为左二车道线为实线、左一车道线为虚线、右一车道线为虚线、右二车道线为实线。根据上述感知车道线信息以及车道模型,初步确定车辆当前处于车道模型的中间车道,即当前定位车道为中间车道。
S120:基于车辆当前位置、目的地位置以及地图信息确定无需变道行驶道路区域。
根据地图信息确定从车辆当前位置到达目的地位置的无需变道行驶道路区域,无需变道行驶道路区域为车辆在该区域行驶可以无需进行变道操作。
S130:基于无需变道行驶道路区域确定可到达目的地道路区域。
可到达目的地道路区域为可以达到目的地位置的道路区域。由于实际道路的复杂性,车辆在一些区域行驶时需要经过变道操作才可以到达目的地位置。因此,可到达目的地道路区域包括所有可以到达目的地位置的道路区域,即包括无需变道行驶道路区域,还包括需要进行变道操作的道路区域。
S140:基于车辆当前定位车道、无需变道行驶道路区域以及可到达目的地道路区域确定车道导航规划信息。
车道导航规划信息例如包括车辆在当前定位车道到达目的地位置的车道路线规划信息及车速规划信息等。由于车辆在无需变道行驶道路区域或者可到达目的地道路区域行驶均可以到达目的地位置。所以依据车辆当前定位车道、无需变道行驶道路区域以及可到达目的地道路区域,可以确定出车辆到达目的地位置之间路线的车道级路线决策和/或车速决策等。
本公开实施例相比于现有技术,首先基于车辆当前位置、地图信息以及车辆感知道路信息确定车辆当前定位车道,这样可以对车辆当前所位于的车道进行准确的定位,获取车辆当前定位车道。然后基于车辆当前位置、目的地位置以及地图信息确定无需变道行驶道路区域,基于无需变道行驶道路区域确定可到达目的地道路区域。无需变道行驶道路区域为根据地图信息确定的车辆从当前位置到达目的地位置的车辆无需进行变道行驶的区域。可到达目的地道路区域包括所有可以到达目的地位置的道路区域,即包括无需变道行驶道路区域,还包括需要进行变道操作的道路区域。这样可以基于车辆当前定位车道、无需变道行驶道路区域以及可到达目的地道路区域确定出车道导航规划信息。该车道导航规划信息是具体到车道级的导航规划信息,无需驾驶员应对复杂的路况或者对车辆的驾驶路线进行规划即可以得出车道 导航规划信息,从而有效的减轻驾驶员的决策压力,提高车辆驾驶的安全性。
在一些实施例中,S110基于车辆当前位置、地图信息以及车辆感知道路信息确定车辆当前定位车道,例如包括:
基于车辆当前位置以及地图信息,生成第一积分表;
基于车辆感知道路信息确定第一积分表中各车道的积分值;
将第一积分表中积分值大于第一预设值的车道确定为当前定位车道;
将车辆感知道路信息与当前定位车道比对,确定第一失配积分值;
若第一失配积分值大于第二预设值,将车道积分表清零,返回执行基于车辆当前位置以及地图信息,生成车道积分表。
例如基于车辆当前位置信息以及地图信息确定当前车道总数,基于车道总数生成的第一积分表为一个数组,用于存放每个车道的积分数值。车辆感知道路信息包括车道数量、车道线信息以及道路边界信息。基于车道数量对应的第一积分规则、感知车道线信息以及感知道路边界信息确定第一积分表中各车道的积分值。
以下对第一积分表中各车道的积分值计算方法进行示例性地说明。例如根据GPS定位的车辆当前位置信息,从地图信息中确定该位置对应的车道信息,比如车道数量、车道线信息、道路边界信息等,并建立车道积分表。根据预设的第一积分规则,以及感测车道线信息以及感知道路边界信息进行积分计算,确定车道积分表中各车道的积分值。第一积分规则可以根据车道数量分别设置,例如基于车道总数分为单车道、两车道、三车道、四车道及以上等情况。例如道路边界信息为护栏信息。因为护栏检测的可靠性不如车道线的可靠性,有时不一定能检测到护栏。因此本公开实施例综合感知的车道线信息以及护栏信息进行积分。
车道数量为1对应的第一积分规则为:车辆感知道路信息为有一侧车道线为实线,且左侧有护栏,则对所在单车道加分。对于车道数量为1,即单车道的情况,综合感知的车道线信息以及护栏信息进行积分。当车辆感知道路信息中右侧车道线为实线,且左侧有护栏,则对所在单车道加分。
车道数量为2对应的第一积分规则为:感知车道线信息以及感知护栏信息为左侧最近邻车道线为实线且右侧最近邻车道线为虚线,则左侧车道加分;感知车道线信息以及感知护栏信息为左侧有护栏,且右侧最近邻车道线为虚线,则左侧车道加分;感知车道线信息以及感知护栏信息为右侧最近邻车道线为实线,且左侧最近邻车道线为虚线,则右侧车道加分;感知车道线信息以及感知护栏信息为右侧有护栏且左侧最近邻车道线为虚线,则右侧车道加分。
车道数量为3对应的第一积分规则为:感知车道线信息以及感知护栏信息为左右两侧最近邻车道线均为虚线且没有护栏,则中间车道加分;感知车道线信息以及感知护栏信息为左侧最近邻车道线为实线,右侧最近邻车道线为虚线且没有右侧护栏,则左侧车道加分;感知车道线信息以及感知护栏信息为左侧有护栏,右侧最近邻车道线为虚线且没有右侧护栏,则左侧车道加分;感知车道线信息以及感知护栏信息为右侧最近邻车道线为实线,左侧最近邻车道线为虚线且左侧没有护栏,则右侧车道加分。
车道数量大于等于4对应的第一积分规则为:感知车道线信息以及感知护栏信息为左侧最近邻车道线为实线,右侧最近邻车道线为虚线且没有右侧护栏则最左侧车道加分;感知车道线信息以及感知护栏信息为左侧有护栏,右侧最近邻车道线为虚线且没有右侧护栏则最左侧车道加分;感知车道线信息以及感知护栏信息为右侧最近邻车道线为实线,左侧最近邻车道线为虚线,且左侧没有护栏,则最右侧车道加分;感知车道线信息以及感知护栏信息为左右两侧最近邻车道线均为虚线且没有护栏,则将感知车道线信息以及感知护栏信息与中间各车道的车道线比对,并对比对一致的中间车道加分。
需要说明的是,以上积分过程中满足的条件越大,则积分越多。
在确定第一积分表中积分值后,将第一积分表中积分值与第一预设值进行比对,将第一积 分表中积分值大于第一预设值的车道确定为当前定位车道。第一预设值可以依据车道级导航规划方法的需求进行设定,本公开对此不限定。
将车辆感知道路信息与当前定位车道比对,确定第一失配积分值。例如包括:基于当前定位车道对应的第二积分规则以及实时获取的车辆感知道路信息确定第一失配积分值。
针对当前定位车道的类型对应不同的第二积分规则,例如左车道、右车道、中间车道对应不同的第二积分规则。
当前的定位车道为最左侧车道对应的第二积分规则为:实时获取的车辆感知道路信息为左侧最近邻车道线为虚线且左侧不存在护栏,增加第一失配积分值;实时获取的车辆感知道路信息为右侧存在护栏且车道总数大于1,增加第一失配积分值。
当前的定位车道为最右侧车道对应的第二积分规则为:实时获取的车辆感知道路信息为右侧最近邻车道线为虚线且右侧不存在护栏,增加第一失配积分值;实时获取的车辆感知道路信息为左侧存在护栏且车道总数大于1,增加第一失配积分值。
当前的定位车道为中间车道对应的第二积分规则为:实时获取的车辆感知道路信息为左侧第二车道线与当前车辆之间的距离小于第一阈值,且左侧第二车道线为实线,增加第一失配积分值;实时获取的车辆感知道路信息为右侧第二车道线与当前车辆之间的距离小于第一阈值,且右侧第二车道线为实线,增加第一失配积分值;实时获取的车辆感知道路信息为左侧存在护栏,且护栏与当前车辆之间的距离小于第二阈值,增加第一失配积分值;实时获取的车辆感知道路信息为右侧存在护栏,且护栏与当前车辆之间的距离小于第二阈值,增加第一失配积分值。
以上加分过程,同时满足的条件越多,则加分越多。
在确定第一失配积分值后,将第一失配积分值与第二预设值进行比对,若第一失配积分值大于第二预设值,将车道积分表清零,返回执行基于车辆当前位置以及地图信息,生成车道积分表。其中,第二预设值可以依据车道级导航规划方法的需求进行设定,本公开对此不限定。
在确定第一失配积分值过程中,符合对比第二积分规则的条件越大,第一失配积分值加分越多,若第一失配积分值大于第二预设值,说明当前定位车道与当前感知的车辆感知道路信息严重不符,当前定位车道错误,需要重新确定定位车道。因此本公开实施例在确定第一失配积分值大于第二预设值后,返回执行基于车辆当前位置以及地图信息,生成车道积分表的操作。
本公开实施例首先基于车辆当前位置信息、车辆感知道路信息以及地图信息先进行初始的车道定位,先确定当前定位车道,然后进行车道定位的监控,将实时获取的车辆感知道路信息与当前定位车道比对,确定第一失配积分值。若第一失配积分值大于第二预设值,说明此时的定位车道定位失败,需要重新确定定位车道,那么则返回执行基于车辆当前位置信息、车辆感知道路信息以及地图信息再次重新确定定位车道。本公开实施例相比于现有技术,不需要借助RTK高精度定位,因此实现成本低。此外,本公开实施例在根据车辆当前位置信息、车辆感知道路信息以及地图信息确定当前定位车道后,还通过将实时获取的车辆感知道路信息与当前定位车道比对,确定第一失配积分值,持续监控定位车道是否正确,在第一失配积分值大于第二预设值后,重新首先基于车辆当前位置信息、车辆感知道路信息以及地图信息确定当前定位车道。因此相比于现有技术中仅基于摄像头感知的车道线类型与地图信息匹配的方式,可以提高车道定位的稳定性以及抗干扰能力。
在一些实施例中,车辆感知道路信息还可以包括周边车辆信息,在确定车辆当前位置信息对应的地图信息中的车道数量,并基于车道数量对应的第一积分规则、车道线信息以及护栏信息确定第一积分表中各车道的积分值之后,还可以包括:基于车道数量对应的第三积分规则以及周边车辆信息更新车道积分表中各车道的积分值。
本公开实施例还可以根据感测的周边车辆信息来修正车道积分表中各车道的积分值。可以通过摄像头、激光雷达等装置获取周边车辆信息,根据车道数量对应的第三积分规则对满足条件的车道进行相应积分,更新车道积分表中各车道的积分值。
例如,车道数量为2对应的第三积分规则为:周边车辆信息为识别出左侧有运动车辆且与当前车辆的横向距离大于第二阈值,则对右侧车道加分;周边车辆信息为识别出右侧有运动车辆且与当前车辆的横向距离大于第二阈值,则对左侧车道加分。
图2为本公开实施例提供的又一种车道级导航规划方法的流程示意图,如图2所示,可选地,S110基于车辆当前位置、地图信息以及车辆感知道路信息确定车辆当前定位车道,例如包括:
S111、判断车辆当前位置的定位可信度大于预设可信度阈值。
S112、若车辆当前位置的定位可信度大于预设可信度阈值,根据车辆当前位置以及地图信息,确定当前定位车道;否则,将车辆当前位置在地图信息中对应道路信息与车辆感知道路信息比对生成第二积分表,并将第二积分表中积分值大于第三预设值的车道确定为当前定位车道。
S113、将当前定位车道在地图信息中对应道路信息与车辆感知道路信息比对,确定第二失配积分值。
S114、若第二失配积分值大于第四预设值,返回执行判断车辆当前位置的定位可信度大于预设可信度阈值。
示例性地,车辆可以通过定位装置判断车辆当前位置,例如可以采用高精度卫星定位装置获取高精地图信息,基于该高精地图信息判断车辆当前位置,不仅可以提高对车辆当前位置的定位可信度。同时还可以基于高精地图信息获取更精细的导航规划,减轻驾驶员决策压力,同时高精地图信息可以实现较高的定位稳定性以及抗干扰能力,确保导航规划系统可以稳定运行。
当采用高精度卫星定位装置确定出车辆当前位置后,对车辆当前位置的定位可信度进行判断,当车辆当前位置的定位可信度大于预设可信度阈值时,说明此时车辆当前位置的判断是准确的,则根据车辆当前位置及地图信息,即可确定当前定位车道。当车辆当前位置的定位可信度小于等于预设可信度阈值时,说明此时车辆当前位置的判断为不准确的,则将车辆当前位置在地图信息中对应道路信息与车辆感知道路信息比对生成第二积分表。例如根据高精度卫星定位装置确定的车辆当前位置信息,从地图信息中确定该位置对应的车道信息,比如车道数量、车道线信息、道路边界信息、周边车辆信息等,并建立第二积分表。将车辆当前位置在地图信息中对应道路信息与车辆感知道路信息依据预设的积分规则进行比对生成第二积分表。并将第二积分表中积分值大于第三预设值的车道确定为当前定位车道。
该预设的积分规则例如可以为车道线信息匹配积分计算、道路边界信息匹配积分计算以及周边车辆信息匹配积分计算中的至少一种计算方法。
在确定第二积分表中积分值后,将第二积分表中积分值与第三预设值进行比对,将第二积分表中积分值大于第三预设值的车道确定为当前定位车道。第三预设值可以依据车道级导航规划方法的需求进行设定,本公开对此不限定。
当确定当前定位车道之后,由于车辆是在实时运动行驶的,车辆的实际行驶车道也会随时发生变化,因此需要对车辆当前定位车道进行实时更新,以使车辆当前定位车道能够实时反应出车辆实际行驶的车道。对车辆当前定位车道进行更新的步骤包括:将车辆感知道路信息与当前定位车道依据预设的积分规则进行比对,确定当前定位车道的第二失配积分值。若第二失配积分值大于第四预设值时,说明此时车辆的实际行驶车道发生了变化,而车道积分表中与第二失配积分值对应的当前定位车道已经不是实际车辆的行驶车道,因此返回执行判断车辆当前位置的定位可信度大于预设可信度阈值,重新确定车辆当前定位车道。其中,第四 预设值以车辆当前定位车道实际确定时的需求进行设定,本公开对此不限定。
本公开实施例首先采用高精度卫星定位装置获取高精地图信息,基于该高精地图信息获取车辆当前位置,再判断车辆当前位置的定位可信度,当车辆当前位置的定位可信度大于预设可信度阈值时,说明此时车辆当前位置的判断是准确的,则根据车辆当前位置及地图信息,即可确定当前定位车道。通过判断车辆当前位置的定位可信度,当定位可信度较高时可以直接使用通过定位获得的车辆当前位置,无需进行复杂的定位计算。只有在定位可信度低时再进行定位计算,这样不仅可以保证对车辆当前位置定位的精度,还可以简化整个车道级导航规划方法的操作步骤。同时高精地图信息可以实现较高的定位稳定性以及抗干扰能力,确保导航规划系统可以稳定运行。此外,本公开实施例在根据车辆当前位置、车辆感知道路信息以及地图信息确定当前定位车道后,还通过将实时获取的车辆感知道路信息与当前定位车道比对,确定第二失配积分值,持续监控定位车道是否正确,在第二失配积分值大于第四预设值后,重新判断车辆当前位置的定位可信度大于预设可信度阈值。因此可以对车道定位进行实时监控,提高车道定位的精度度。
在一些实施例中,步骤S112中的将车辆当前位置在地图信息中对应道路信息与车辆感知道路信息比对生成第二积分表,例如还包括:
基于车辆当前位置在地图信息中对应道路信息的车道线信息与车辆感知道路信息中的车道线信息比对结果、车辆当前位置在地图信息中对应道路信息的道路边界与车辆感知道路信息中的车道线的位置关系,以及车辆感知道路信息中的周边车辆信息与车辆当前位置在地图信息中车道线的位置关系中的至少一种生成第二积分表。
将车辆当前位置在地图信息中对应道路信息与车辆感知道路信息依据预设的积分规则进行比对生成第二积分表。
例如当基于车辆当前位置在地图信息中对应道路信息的车道线信息与车辆感知道路信息中的车道线信息依据预设的积分规则比对生成第二积分表时,该预设的积分规则例如可以为进行车道线信息匹配积分计算,该车道线信息例如可以包括车道线的横向距离、斜率、曲率、线型(实线、虚线)、有效长度等。车道线信息匹配积分计算为将车辆当前位置的车道线信息与车辆所在位置对应的地图信息上的车道线信息进行比对积分计算。基于车辆采集装置获取车辆当前位置的车道线信息。基于车辆定位装置及地图信息,获取车辆在地图信息上对应的车道线信息。将车辆当前位置的车道线信息与地图信息上的车道线信息进行比对积分计算。该比对积分计算的过程例如可以为,若设定车辆采集装置中的前置摄像头感知到的该待积分计算的车道两侧的4根车道线为有效车道线,由右至左逐一对比车道线信息的匹配程度,匹配了几根车道线则由该车道上设置的计数器进行积分,直到对比完全部车道。例如:当前车辆的车道为4车道,在地图信息上每个车道对应设置有1个计数器,车道线由左至右为“实虚虚虚实”。当采用由右至左逐一对比车道线信息的匹配程度时,地图信息上车道线信息为“实虚虚虚”。由于前视摄像头感知到的车道两侧的4根车道线为有效车道线,因此每个车道在进行积分计算时,均是由感知到的4根车道线与地图信息上的“实虚虚虚”进行比对,每匹配上一条车道线加1分。例如对于右侧1车道,前视摄像头感知到的4根车道线为“虚虚实0”,则地图信息上“实虚虚虚”与右侧1车道感测的“虚虚实0”相比对,第二条“虚”可以匹配上,此时对应于右侧1车道的计数器上加1分。由于右侧1车道再往右已经没有车道线了,所以前视摄像头感知到的最右侧的车道线记为0。同理对于右侧2车道而言,前视摄像头感知到的4根车道线为“虚虚虚实”,则地图信息上“实虚虚虚”与右侧2车道感知到的“虚虚虚实”相比对,第二条“虚”和第三条“虚”可以匹配上,此时对应于右侧2车道的计数器上加2分。对于左侧2车道而言,前视摄像头感知到的4根车道线为“实虚虚虚”,则地图信息上“实虚虚虚”与左侧2车道感知到的“实虚虚虚”相比对,4条车道线均可以匹配上,此时对应于左侧2车道的计数器上加4分。对于左侧1车道而言,前视摄像头感知到的4根车道 线为“0实虚虚”,则地图信息上“实虚虚虚”与左侧1车道感知到的“0实虚虚”相比对,4条车道线均可以匹配上,可以匹配上2条车道线,此时对应于左侧1车道的计数器上加2分。综上,左侧1车道的计数器为2分,左侧2车道的计数器为4分,右侧1车道的计数器为1分,右侧2车道的计数器为2分。其中,在进行车道线信息匹配积分计算时,每条车道线对应的加分分数值例如可以是1、2、3等,每条车道线对应的加分分数值可以以实际积分计算的需要进行设定,本公开对此不作限定。
可选地,在确定车辆当前位置的车道线信息时,当车道线有效长度较长,且侧向位置、斜率、曲率在合理范围内时可以认定该车道线为有效车道线。这样可以提高车道线信息匹配积分计算的精确度。
例如当依据车辆当前位置在地图信息中对应道路信息的道路边界与车辆感知道路信息中的车道线的位置关系依据预设的积分规则生成第二积分表时,该预设的积分规则例如可以为进行道路边界信息匹配积分计算,道路边界信息例如可以包括道路边界的侧向位置、斜率、曲率、有效长度及线型等。当前视摄像头感知到道路边界,可信度高且有效长度较长,侧向位置、斜率、曲率在合理范围内,则根据道路边界的位置,对对应车道进行加分。例如,左侧存在道路边界,侧向位置在左侧1.5倍车道宽度左右,则左2车道的计数器例如可以加3分。或者,左侧存在道路边界时,侧向位置在左侧1倍车道宽度左右,则左1车道的计数器例如可以加1分。其中,道路边界的位置宽度设定以及对应增加的分数可以实际道路积分计算的权重需求进行设定,本公开对比不作限定。
例如基于车辆感知道路信息中的周边车辆信息与车辆当前位置在地图信息中车道线的位置关系依据预设的积分规则生成第二积分表时,该预设的积分规则例如可以为进行周边车辆信息匹配积分计算,周边车辆信息例如可以包括运动车辆的纵向位置、横向位置、纵向车速等。当前视摄像头感知到前方存在运动车辆时,根据周边车辆与车道线的位置关系,对不匹配的车道进行减分。例如,运动的周边车辆出现在右一车道线与右二车道线之间,则可以判断出本车辆不可能在右一车道线,此时对右一车道线对应的计数器进行减分。具体减去的分数数值可以以实际积分计算的需要进行设定,本公开对此不作限定。
需要说明的是,以上积分过程中满足的条件越大,则积分越多。
本公开实施例提供的技术方案,该预设的积分规则例如可以为车道线信息匹配积分计算、道路边界信息匹配积分计算以及周边车辆信息匹配积分计算中的至少一种计算方法。这样可以为第二积分表的计算提供多种方法,且可以基于车辆感知道路信息对第二积分表进行准确的计算,以便后续对车辆当前的车道进行准确的定位。
在一些实施例中,在步骤S113将当前定位车道在地图信息中对应道路信息与车辆感知道路信息比对,确定第二失配积分值之前,例如还包括:
判断车辆当前位置的定位可信度大于预设可信度阈值后,将当前的第二失配积分值清零。
例如,当判断车辆当前位置的定位可信度大于预设可信度阈值时,可以根据车辆当前位置以及地图信息,确定当前定位车道。此时对当前的第二失配积分值清零。由于在当前定位车道确定之后,要对当前定位车道进行实时检测,以使当前定位车道能够实时更新。由于车辆始终处于运动状态,则每次对车辆当前位置进行更新之前,车辆的车道可能已经发生了变化,那么再根据原有车道积分表中的第二失配积分值确定当前定位车道将会出现判断错误,因此本实施例在判断车辆当前位置的定位可信度大于预设可信度阈值后,将当前的第二失配积分值清零。
在一些实施例中,步骤S113将当前定位车道在地图信息中对应道路信息与车辆感知道路信息比对,确定第二失配积分值,例如还包括:
基于车辆当前位置在地图信息中对应道路信息的车道线信息与车辆感知道路信息中的车道线信息比对结果、车辆当前位置在地图信息中对应道路信息的道路边界与车辆感知道路信 息中的车道线的位置关系,以及车辆感知道路信息中的周边车辆信息与车辆当前位置在地图信息中车道线的位置关系中的至少一种确定第二失配积分值。
其中,基于车辆当前位置在地图信息中对应道路信息的车道线信息与车辆感知道路信息中的车道线信息进行比对计算,该计算方法为本公开实施例所述的预设的积分规则中的车道线信息匹配积分计算方法。车辆当前位置在地图信息中对应道路信息的道路边界与车辆感知道路信息中的车道线的位置关系匹配方法,该方法为本公开实施例所述的预设的积分规则中的道路边界信息匹配积分计算方法。车辆感知道路信息中的周边车辆信息与车辆当前位置在地图信息中车道线的位置关系匹配方法,该方法为本公开实施例所述的预设的积分规则中的周边车辆信息匹配积分计算方法。并且与本公开实施例所述的预设的积分规则具有相同的有益效果,为避免重复,在此不再赘述。
在一些实施例中,该车道级导航规划方法例如还包括:若根据车辆当前位置以及地图信息,确定当前定位车道发生变换,判断车辆当前位置的定位可信度大于预设可信度阈值,更新当前定位车道;否则,在根据车辆感知道路信息确定车辆变道时,更新当前定位车道。
例如采用高精度卫星定位装置可以对车辆当前位置进行精确定位,当通过高精度卫星定位装置确定车辆当前位置发生变化,此时需要判断车辆当前位置的定位可信度是否大于预设可信度阈值。当车辆当前位置的定位可信度大于预设可信度阈值时,说明此时车辆当前位置的判断是准确的,则更新当前定位车道。
当车辆当前位置的定位可信度小于等于预设可信度阈值时,说明此时车辆当前位置的判断是不准确的,则根据车辆感知道路信息确定车辆是否变道。由于车辆的采集装置前视摄像头可以感知到车道两侧的4条车道线为有效车道线,当前视摄像头感知到有效车道线出现集体位置跳变时,可以判定车辆行驶的车道可能发生了变化,因此可以更新当前定位车道。
本公开实施例提供的技术方案,可以采用高精度卫星定位装置判断当前定位车道是否发生变换,当检测到车道发生变换时,通过判断车辆当前位置的定位可信度是否大于预设可信度阈值,可以有效的对车道是否发生变化进行准确的确认,以防止出现定位错误的情况,而影响对车道的定位。并且,当定位可信度小于等于预设可信度阈值时,说明此时车辆当前位置的判断是不准确的,则根据车辆感知道路信息进一步确定车辆是否发生变道,从而实现对车辆行驶车道的精准把控,不依赖于人员的驾驶经验,可以有效的减轻驾驶员的决策压力,提高车辆驾驶的安全性。
在一些实施例中,S110基于车辆当前位置、地图信息以及车辆感知道路信息确定车辆当前定位车道,例如还包括:
在基于地图信息确定当前车道数量发生变化后,将第一积分表或第二积分表清零。
例如,车辆采用定位装置获取车辆当前位置信息,并采用采集装置获取当前车道数量信息,将当前车道数量信息与地图信息上对应位置的车道数量信息进行比对。当确定车道数量发生变化后,此时说明车辆行驶的车道发生了变化,需要对车辆当前定位车道进行重新确定。那么再根据原有第一积分表或者第二积分表中的积分值确定当前定位车道将会出现判断错误,因此本实施例在确定车道数量发生变化后,将第一积分表或者第二积分表清零。
图3为本公开实施例提供的又一种车道级导航规划方法的流程示意图。在一些实施例中,如图3所示,步骤S120基于车辆当前位置、目的地位置以及地图信息确定无需变道行驶道路区域,例如包括如下步骤:
S121、基于车辆当前位置、目的地位置以及地图信息确定导航路线。
例如,在地图信息上确定从车辆当前位置至目的地位置的导航路线。
S122、将导航路线对应的地图信息重组分段形成地图数据矩阵,以使地图数据矩阵中同一分段内沿行驶方向的道路信息相同。
通常为压缩数据量节省通信带宽,车道级导航规划装置会依照高精地图行业通信标准将不 同属性的地图信息进行分段发送,高精地图行业通信标准中例如依据车道数量、车道线、限速等对地图信息进行不同属性划分。由于将不同属性的地图信息分段发送,这样会导致不同属性的地图信息在坐标上的不统一,因此需要对导航路线对应的地图信息进行重组分段形成地图数据矩阵,以使地图数据矩阵中不同属性的分段信息位于同一坐标矩阵中,并且同一分段内沿行驶方向的道路信息相同。其中,将导航路线对应的地图信息重组分段形成地图数据矩阵是指将不同属性的数据放在一个坐标矩阵里,并且地图数据矩阵是导航路线对应的不同属性的分段信息经过重组分段后的信息。重组分段是指先将不同属性的分段信息统一在同一个坐标矩阵中,然后将沿行驶方向的道路信息相同的数据分为同一分段信息。同一分段内沿行驶方向的道路信息相同是指同一分段内同一属性的道路信息相同。例如同一分段内车道数量均为3或者限速均为70等。例如重组分段得到的地图数据矩阵中,同一分段信息中的车道数量为2,车道线均为“实虚实虚”。避免出现同一分段信息中,例如车道数量为2,而车道线包括“实虚虚实”和“实虚实虚”的两种情况,因为地图数据矩阵中无法反映沿车辆行驶方向上不同道路之间的连接关系,因此需要在地图数据矩阵中将沿车辆行驶方向的道路信息相同的数据放在同一分段中,以便后续对不同分段道路之间的连接关系进行确定。
S123、根据地图数据矩阵中不同分段中车道的连通关系,将地图数据矩阵重组生成地图空间矩阵,以使地图空间矩阵中不同分段内直接连通的车道对齐。
在步骤S122中,地图数据矩阵中同一分段内沿行驶方向的道路信息相同。但是地图数据矩阵中的各分段数据中的车道之间未对应连通关系,不能如实反映实际车道地图,因此需要将地图数据矩阵重组生成地图空间矩阵,在地图空间矩阵中各分段数据内直接连通的车道对齐设置。这样可以在地图空间矩阵中如实反映出实际车道的位置、连通关系、车道数量、车道线类型等信息,地图空间矩阵是完整的车道地图信息。
示例性地,图4为本公开实施例提供的地图数据矩阵重组示意图,如图4所示,图中左侧为将导航路线对应的地图信息重组分段形成的地图数据矩阵,地图数据矩阵包括连续的3个分段数据,其中,第1段数据包括4个车道,从左至右依次为车道A1、车道A2、车道A3、车道A4。第2段数据包括1个车道,该车道为最左侧车道B1。第3段数据包括3个车道,从左至右依次为车道C1、车道C2、车道C3。其中,在该地图数据矩阵中,第1段数据中的最左侧的车道A1与第2段数据中最左侧的车道B1连通,第2段数据中最左侧的车道B1与第3段数据中最左侧的车道C1连通。将地图数据矩阵重组生成地图空间矩阵,在地图空间矩阵中各分段数据内直接连通的车道对齐设置。不同分段数据中的车道之间的连接关系包括连通连接和直通连接。车辆在直通连接的道路上行驶无需进行变道操作。连通连接的车道之间需要进行变道才能实现道路之间的连接。如图4左侧的地图空间矩阵中的车道连通关系所示,在该地图空间矩阵中,第1段数据中的最右侧的车道A4与第2段数据中最左侧的车道B1直通连接,第2段数据中最左侧的车道B1与第3段数据中最左侧的车道C1直通连接。图4中的,第1段数据中的车道A1、车道A2、车道A3与第2段数据中最左侧的车道B1连通连接,车辆在连通连接的车道之间需要进行变道操作才能实现连续行驶。连通连接的不同分段数据中的车道之间的车道线类型为虚线,车辆在虚线车道线上可以进行变道操作。第2段数据中最左侧的车道B1与第3段数据中的车道C2和车道C3连通连接。
因此地图空间矩阵是能够如实反映实际车道的位置、连通关系、车道数量、车道线类型等信息的完整的车道地图信息。
S124、基于目的地位置在地图空间矩阵对应车道,以及地图空间矩阵的车道线信息确定无需变道行驶道路区域。
根据地图空间矩阵确定车辆从当前位置到达目的地位置的无需变道行驶道路区域,车辆在该无需变道行驶道路区域内行驶可以无需进行变道操作。
本公开实施例提供的技术方案,通过将导航路线对应的地图信息重组分段形成地图数据矩 阵,再依据车道连接关系对地图数据矩阵进行重组形成地图空间矩阵,这样可以得到准确的地图信息。然后以该地图空间矩阵为基础,确定无需变道行驶道路区域。这样可以确保得到的无需变道行驶道路区域更加精确。
在一些实施例中,S124、基于目的地位置在地图空间矩阵对应车道,以及地图空间矩阵的车道线信息确定无需变道行驶道路区域,例如包括:
将目的地位置在地图空间矩阵对应车道作为初始无需变道行驶道路区域;
若初始无需变道行驶道路区域存在任意侧车道线类型为虚线,且长度大于变道所需距离,将初始无需变道行驶道路区域向该虚线车道线的一侧扩展一个车道;从车辆当前位置起,扩展的车道长度为该虚线车道线与变道所需距离的差值;
若扩展后的初始无需变道行驶道路区域存在任意侧车道线类型为虚线,且长度大于变道所需距离,将扩展后的初始无需变道行驶道路区域向该虚线车道线的一侧扩展一个车道,直至扩展后的初始无需变道行驶道路区域不存在任意侧车道线类型为虚线且长度大于变道所需距离,获得无需变道行驶道路区域。
示例性地,图5为本公开实施例提供的无需变道行驶道路区域的规划示意图,如图5所示,从地图空间矩阵中确定无需变道行驶道路区域,该地图空间矩阵包括3段数据。其中,第1段数据包括4个车道,从左至右依次为车道A1、车道A2、车道A3、车道A4。第2段数据包括4个车道,该车道为最左侧车道B1、车道B2、车道B3、车道B4。第3段数据包括4个车道,从左至右依次为车道C1、车道C2、车道C3、车道C4。沿着车辆行驶方向,第一段数据中车道的距离为x,第二段数据中车道的距离为y,第三段数据中车道的距离为z。将目的地位置2在地图空间矩阵对应车道作为初始无需变道行驶道路区域,如图5所示,目的地位置2在地图空间矩阵对应车道为车道C2、车道B2和车道A2。则可以确定初始无需变道行驶道路区域为车道C2、车道B2和车道A2。此时对初始无需变道行驶道路区域两侧的车道线类型进行判断。车道线类型包括虚线和实线。若初始无需变道行驶道路区域任意一侧的车道线类型为虚线,虚线说明车辆在该车道上可以进行变道,即初始无需变道行驶道路区域周围车道的车辆可以变道行驶至无需变道行驶道路区域。在无需变道行驶道路区域的虚线范围内,周围车道的车辆均可以进行变道行驶至无需变道行驶道路区域,因此无需变道行驶道路区域的虚线的长度决定了可变道的距离,但是车辆在进行变道的时候需要一定的条件才能成功变道,因为涉及到实际车辆驾驶,要考虑到道路复杂性,因此车辆能否成功进行变道,需要与变道所需距离进行比对,其中,变道所需距离为车辆能够顺利进行变道所需的车辆行驶的最短距离。例如可以根据车辆的车型、车速等在车道级导航规划装置中预先设定一个变道所需距离,该变道所需距离例如可以是一个数据范围或者具体的数值,本公开对此不限定。
若无需变道行驶道路区域的虚线的长度大于变道所需距离,将初始无需变道行驶道路区域向该虚线车道线的一侧扩展一个车道。例如,如图5所示,对车道C2、车道B2和车道A2两侧的虚线的长度进行判断,沿着车辆行驶的方向,车道C2、车道B2和车道A2左侧的虚线长度为x+y+z,车道C2、车道B2和车道A2右侧的虚线长度为y+z。当该虚线的长度大于变道所需距离,此时向左扩展的车道为车道C1、车道B1和车道A1,向右扩展的车道为车道B3和车道A3。其中,初始无需变道行驶道路区域中,车道C2、车道B2和车道A2向左扩展的车道的长度为车道C2、车道B2和车道A2左侧虚线车道线的长度与变道所需距离的差值,即x+y+z与变道所需距离之间的差值,且该向左扩展的车道的虚线车道线以车辆当前位置为起点。在车道C2、车道B2和车道A2左侧的虚线车道线上,车辆当前位置对应的是P1点,沿着该虚线车道线P1点与P2点之间的距离为向左扩展的车道的长度,因此如图5所示,车道C2、车道B2和车道A2向左扩展的车道为从P1点至P2点之间的车道C1、车道B1和车道A1。
初始无需变道行驶道路区域中,车道C2、车道B2和车道A2向右扩展的车道的长度为车道C2、车道B2和车道A2右侧虚线车道线的长度与变道所需距离的差值,即y+z与变道所需 距离之间的差值,且该向右扩展的车道的虚线车道线以车辆当前位置为起点。在车道C2、车道B2和车道A2右侧的虚线车道线上,车辆当前位置对应的是P3点,沿着该虚线车道线P3点与P4点之间的距离为向右扩展的车道的长度,因此如图5所示,车道C2、车道B2和车道A2向右扩展的车道为从P3点至P4点之间的车道B3和车道A3。
由于车道C2右侧的车道线为实线,所以车辆在车道C2右侧的车道C3上不能与车道C2之间进行变道操作。此时,扩展后的初始无需变道行驶道路区域为车道C1、车道B1、车道A1、车道B3和车道A3,对扩展后的初始无需变道行驶道路区域两侧的车道线类型进行判断,如图5所示,即对车道B3和车道A3右侧的车道线类型进行判断,以及对车道C1、车道B1和车道A1左侧的车道线类型进行判断。车道C1、车道B1和车道A1左侧的车道线类型为实线,车道B3和车道A3右侧的车道线类型为虚线。当车道线类型为虚线时,判断该虚线的长度大于变道所需距离时,将扩展后的初始无需变道行驶道路区域向该虚线车道线的一侧扩展一个车道。在图5中,车道B3和车道A3右侧的车道线类型为虚线,该虚线的长度为y+z与变道所需距离之间的差值,当该虚线的长度大于变道所需距离时,向该虚线车道线的右侧扩展一个车道,此时扩展的车道在车道A4上。扩展的车道长度为车道B3和车道A3右侧虚线车道线的长度与变道所需距离之间的差值,即y+z与2倍变道所需距离之间的差值。如图5所述,车辆当前位置对应的是P5点,沿着该虚线车道线P5点与P6点之间的距离为向右扩展的车道的长度,车道B3和车道A3向右扩展的车道为从P5点至P6点之间的车道A4。
重复执行对扩展后的初始无需变道行驶道路区域两侧的虚线长度与变道所需距离进行对比,当虚线的长度大于变道所需距离时扩展一个车道,直至扩展后的初始无需变道行驶道路区域不存在任意侧车道线类型为虚线且长度大于变道所需距离条件,此时可以获得最终的无需变道行驶道路区域。如图5所示,图5中的阴影部分即为最终的无需变道行驶道路区域。
本公开实施例提供的技术方案,将目的地位置在地图空间矩阵对应车道作为初始无需变道行驶道路区域,再根据初始无需变道行驶道路区域两侧的虚线长度来逐步扩展初始无需行驶道路区域的范围,操作简单,容易实现,且可以在地图空间矩阵上精确的划分出无需行驶道路区域的范围。
在一些实施例中,S130、基于无需变道行驶道路区域确定可到达目的地道路区域,例如包括:
从地图空间矩阵距离车辆当前位置最远端开始,若无需变道行驶道路区域任意一侧车道线类型为虚线,将无需变道行驶道路区域向该虚线车道线扩展一个车道,直至扩展后的无需变道行驶道路区域的两侧车道线类型为实线,获得可到达目的地道路区域。
图6为本公开实施例提供的可到达目的地道路区域的规划示意图,如图6所示,该地图空间矩阵包括3段数据。从地图空间矩阵距离车辆1当前位置最远端开始,车辆1当前位置位于地图空间矩阵的第1段数据中,距离车辆1当前位置最远端的数据为第3段数据。若无需变道行驶道路区域任意一侧车道线类型为虚线,只要是虚线说明可以进行变道,因此当任意侧车道线类型为虚线,则将无需变道行驶道路区域向该虚线车道线扩展一个车道,直至扩展后的无需变道行驶道路区域的两侧车道线类型均为实线,即可以获得可到达目的地道路区域。图6中阴影部分即为最终的可到达目的地道路区域。可到达目的地道路区域将所有可以到达目的地的车道区域全部包括在内,即包括无需变道行驶道路区域,又包括需要进行变道行驶到达目的地的区域。
本公开实施例提供的技术方案,可以根据无需变道行驶道路区域两侧的车道线类型很容易就可以确定出可到达目的地道路区域,操作简单,容易实现,且准确度高。
在一些实施例中,S140、基于车辆当前定位车道、无需变道行驶道路区域以及可到达目的地道路区域确定车道导航规划信息,例如还包括:基于车辆当前定位车道与无需变道行驶道路区域的位置关系,和/或,车辆当前定位车道与可到达目的地道路区域的位置关系确定车道 路线规划信息。
车道路线规划信息是指车辆从当前定位车道到达目的地位置的车道级路线决策。由于车辆在无需变道行驶道路区域中无需进行变道等操作,保持原有的行驶策略,即可到达目的地。车辆在可到达目的地道路区域也可以最终到达目的地,可能中途需要进行变道等操作。基于车辆当前定位车道与无需变道行驶道路区域的位置关系可以确定车道路线规划信息。和/或,基于车辆当前定位车道与可到达目的地道路区域的位置关系也可以确定出车道路线规划信息。
本公开实施例提供的技术方案,可以根据多种方式确定车道路线规划信息,并根据无需变道行驶道路区域和/或可到达目的地道路区域可以向车辆提供准确的最优的车道路线规划信息,无需驾驶员应对复杂的路况或者对车辆的行驶规划路线进行规划即可以得出车道导航规划信息,从而有效的减轻驾驶员的决策压力,提高车辆驾驶的安全性。
在一些实施例中,基于车辆当前定位车道与无需变道行驶道路区域的位置关系,和/或,车辆当前定位车道与可到达目的地道路区域的位置关系确定车道路线规划信息,例如还包括:
判断当前定位车道是否位于无需变道行驶道路区域内,若是,确定车道路线规划信息为正常行驶;
否则,判断当前定位车道是否位于可到达目的地道路区域内;
若是,判断当前定位车道位于无需变道行驶道路区域的左侧或右侧;
若当前定位车道位于无需变道行驶道路区域的右侧,则确定车道路线规划信息为向左变道;若当前定位车道位于无需变道行驶道路区域的左侧,则确定车道路线规划信息为向右变道;
若当前定位车道位于可到达目的地道路区域外,确定车道路线规划信息为驶离规划道路。
基于车辆当前定位车道,判断车辆当前定位车道是否位于无需变道行驶道路区域内,若车辆当前定位车道位于无需变道行驶道路区域内,说明此时车辆无需进行变道等操作就可以到达目的地位置,且属于最优的行驶策略,因而可以确定车道路线规划信息为正常行驶。若车辆当前定位车道没有位于无需变道行驶道路区域内,则判断当前定位车道是否位于可到达目的地道路区域内。若位于可到达目的地道路区域内,再判断当前定位车道与无需变道行驶道路区域的位置关系,根据当前定位车道与无需变道行驶道路区域的位置关系,向车辆提出变道提示,以使车辆能够变道进入无需变道行驶道路区域行驶。例如可以判断当前定位车道位于无需变道行驶道路区域的左侧还是右侧。若当前定位车道位于无需变道行驶道路区域的右侧,则说明车辆需要向左变道行驶进入无需变道行驶道路区域,因而确定车道路线规划信息为向左变道。若当前定位车道位于无需变道行驶道路区域的左侧,则说明车辆需要向右变道行驶进入无需变道行驶道路区域,因而确定车道路线规划信息为向右变道。若当前定位车道位于可到达目的地道路区域外,说明车辆已经偏航,在当前的车道行驶无法到达目的地位置,因而确定车道路线规划信息为驶离规划道路。并提示驾驶员当前行驶规划路线已经偏航。这样可以降低驾驶员的精力分散,提高车辆驾驶的安全性。
本公开实施例提供的技术方案,可以根据车辆当前定位车道、无线变道行驶道路区域以及可到达目的地道路区域向车辆提供最优的车道路线规划信息,使车辆尽量保持在无需变道行驶道路区域行驶,这样可以减少车辆的变道等操作,减少驾驶员应对复杂路况的概率,从而有效的减轻驾驶员的决策压力,提高车辆驾驶的安全性。
在一些实施例中,S140、基于车辆当前定位车道、无需变道行驶道路区域以及可到达目的地道路区域确定车道导航规划信息,例如还包括:
基于车辆当前位置、无需变道行驶道路区域以及可到达目的地道路区域确定车辆当前位置与需变道节点之间的距离;
根据当前定位车道确定当前定位车道的限速;
根据当前定位车道对应的限速以及车辆当前位置与需变道节点之间的距离,确定车速规划信息。
示例性地,无需变道行驶道路区域以及可到达目的地道路区域中均包含一定数量的车道,当车道任意侧的车道线类型为虚线时,车辆可以从虚线进行变道。需变道节点为车辆需要进行变道的位置,例如车道上设置有匝道口或者车道汇流点,则车道与匝道口或者车道汇流点的交汇点即为需变道节点,因为车辆必须在到达匝道口或者车道汇流点之前变道驶出当前定位车道,车辆在匝道口或者车道汇流点无法进行变道,经过了匝道口车辆就可能无法到达目的地位置,所以车辆必须在需变道节点之前区域内进行变道行驶。
当车辆位于可到达目的地道路区域以外时,车辆需要变道驶入可到达目的地道路区域,此时确定车辆从车辆当前位置能够驶入可到达目的地道路区域的需变道节点,在该需变道节点之前车辆均可以驶入可到达目的地道路区域。超过该需变道节点,车辆无法驶入可到达目的地道路区域中。例如可到达目的地道路区域靠近车辆当前位置的一侧,距离车辆前方位置的最远端为需变道节点。需变道节点与车辆当前位置之间的距离相当于车辆从当前位置能够变道驶入可到达目的地道路区域的距离,车辆可以在该距离范围内进行变道驶入可到达目的地道路区域内。
当车辆位于可到达目的地道路区域但不在无需变道行驶道路区域时,车辆需要变道驶入无需变道行驶道路区域。此时需变道节点为车辆当前位置能够驶入无需变道行驶道路区域的道路节点。需变道节点与车辆当前位置之间的距离相当于车辆从当前位置能够变道驶入无需变道行驶道路区域的距离,车辆可以在该距离范围内进行变道驶入无需变道行驶道路区域内。例如无需变道行驶道路区域靠近车辆当前位置的一侧,距离车辆前方位置的最远端为需变道节点。
本公开实施例提供的技术方案,可以根据当前定位车道对应的限速以及车辆当前位置与需变道节点之间的距离,确定车速规划信息,实现对车速的提示及管控,进一步的减轻驾驶员的决策压力,提高车辆驾驶的安全性。同时还能防止驾驶员出现错过最佳变道时机,而驶出规划路径的情况,使得驾驶员能够轻松自如地驾车。
在一些实施例中,根据当前定位车道对应的限速以及车辆当前位置与需变道节点之间的距离,确定车速规划信息,例如还包括:
判断车辆当前位置与需变道节点之间的距离是否大于预设距离阈值;
若是,则将当前定位车道对应的限速确定为第一规划车速;
否则,生成车辆减速提示和/或第二规划车速,第二规划车速小于当前定位车道对应的限速。
示例性地,车道级导航规划装置可以判断车辆当前位置与需变道节点之间的距离是否大于预设距离阈值,当大于预设距离阈值时,说明此时还可以继续正常行驶不用变道,并将当前定位车道对应的限速确定为第一规划车速,因为此时不用变道,因此车辆可以以当前定位车道对应的限速进行行驶。当小于预设距离阈值时,说明此时需要减速进行变道,可选的,例如可以在人机交互显示装置中闪烁显示,同时显示提示文字“需要变道,请减速”,并伴有语音提示。此时人机交互显示装置对生成的第二规划车速进行显示,该第二规划车速小于当前定位车道的限速,提示驾驶员以第二规划车速进行变道操作。
示范性地,车辆中的采集装置采集的车辆感知道路信息例如可以如图7所示,图7为本公开实施例提供的车辆感知道路信息示意图,从图7可以看出,该车辆感知道路信息例如可以包括本车1、前方的目标车辆3、左一车道线4、右一车道线5、左二车道线6、右二车道线7、左侧道路边界8、道路边界9、前视摄像头视野边界11。
需要说明的是,车辆中的采集装置采集车辆感知道路信息包括但不限于如下几种方案:
1、前视摄像头可以识别本车左侧最近以及右侧最近的车道线信息,前向毫米波雷达可以 获取本车前方左右5米内护栏的10个以上的反射点位置信息。
2、前视摄像头可以识别本车左侧最近以及右侧最近的车道线信息,且能够获取左右5米内道路边界信息。
3、前视摄像头可以识别本车左侧最近以及右侧最近的车道线信息以及左侧第二条、右侧第二条车道线信息,且能够获得左右7米内的道路边界信息。
4、前视摄像头可以识别本车左侧最近以及右侧最近的车道线信息以及左侧第二条、右侧第二条车道线信息,前向毫米波雷达可以获取本车前方左右7米内护栏的10个以上的反射点位置信息。
方案1、方案2可以支持3车道道路任意车道的初始定位、4条以上车道道路两侧车道初始定位、5条以内车道的稳定定位跟踪。
方案3、方案4可以支持5车道道路任意车道的初始定位、6条以上车道道路两侧车道初始定位、7条以内车道数的稳定定位跟踪。
本公开实施例可以根据实际情况选择合适的前视摄像头、前向毫米波雷达等采集装置,以适应行营的定位需求。
示例性,本公开实施例提供的车道级导航规划方法可以如图8所示,图8为本公开实施例提供的车道级导航规划方法原理图。从图8可以看出,该车道级导航规划方法可以进行定位融合方法,定位融合方法包括定位初始化方法和定位监测方法。
其中,定位融合方法中首先采用定位监测方法对车辆当前位置进行监测,然后在定位初始化方法中判断本车定位可信度,若定位可信度大于预设可信度阈值,说明此时车辆当前位置的判断是准确的,则根据车辆当前位置及地图信息,据车辆当前位置以及地图信息,确定当前定位车道。
当车辆当前位置的定位可信度小于等于预设可信度阈值时,说明此时车辆当前位置的判断是不准确的,则通过定位初始化方法对车道线信息、道路边界信息、周边车辆信息中的至少一种进行匹配积分生成第二积分表,并将第二积分表中积分值大于第三预设值的车道确定为当前定位车道。
当确定当前定位车道之后,由于车辆是在实时运动行驶的,车辆的实际行驶车道也会随时发生变化,因此需要结合定位初始化方法及定位监测方法对车辆当前定位车道进行实时更新,以使车辆当前定位车道能够实时反应出车辆实际行驶的车道。对车辆当前定位车道进行更新的步骤包括:通过定位监测方法对车道线信息、道路边界信息、周边车辆信息中的至少一种进行匹配积分计算生成第二失配积分值。若第二失配积分值大于第四预设值时,说明此时车辆的实际行驶车道发生了变化,而车道积分表中对应的当前定位车道已经不是实际车辆的行驶车道,因此返回执行判断车辆当前位置的定位可信度大于预设可信度阈值,重新确定车辆当前定位车道。其中,第四预设值以车辆当前定位车道实际确定时的需求进行设定,本公开对此不限定。
本公开实施例通过判断车辆当前位置的定位可信度,当定位可信度较高时可以直接使用通过定位获得的当前定位车道,无需进行复杂的定位计算。只有在定位可信度低时再进行定位计算,这样不仅可以保证对车辆当前位置定位的精度,还可以简化整个车道级导航规划方法的操作步骤。此外,本公开实施例在根据车辆当前位置、车辆感知道路信息以及地图信息确定当前定位车道后,还通过将实时获取的车辆感知道路信息与当前定位车道比对,确定第二失配积分值,持续监控定位车道是否正确,在第二失配积分值大于第四预设值后,重新判断车辆当前位置的定位可信度大于预设可信度阈值。因此可以对车道定位进行实时监控,提高车道定位的精度度。
在一些实施例中,该定位监测方法例如还可以对变道信息进行监测。若通过定位监测方法确定当前定位车道发生变换,则通过定位初始化方法判断车辆当前位置的定位可信度大于预 设可信度阈值时,更新当前定位车道;否则,通过定位监测方法获取车辆感知道路信息,再根据车辆感知道路信息确定车辆变道时,更新当前定位车道。
本公开实施例提供的技术方案,可以采用定位监测方法判断当前定位车道是否发生变换,当检测到车道发生变换时,通过判断车辆当前位置的定位可信度是否大于预设可信度阈值,可以有效的对车道是否发生变化进行准确的确认,以防止出现定位错误的情况,而影响对车道的定位。并且,当定位可信度小于等于预设可信度阈值时,说明此时车辆当前位置的判断是不准确的,则根据车辆感知道路信息进一步确定车辆是否发生变道,从而实现对车辆行驶车道的精准把控,不依赖于人员的驾驶经验,可以有效的减轻驾驶员的决策压力,提高车辆驾驶的安全性。
基于同一发明构思,本公开实施例还提供一种车道级导航规划装置,图9为本公开实施例提供的一种车道级导航规划装置的结构框图,如图9所示,该装置包括:
车道定位模块10,用于基于车辆当前位置、地图信息以及车辆感知道路信息确定车辆当前定位车道。无需变道行驶道路区域确定模块20,用于基于车辆当前位置、目的地位置以及地图信息确定无需变道行驶道路区域。可到达目的地道路区域确定模块30,用于基于无需变道行驶道路区域确定可到达目的地道路区域。车道导航规划信息确定模块40,用于基于车辆当前定位车道、无需变道行驶道路区域以及可到达目的地道路区域确定车道导航规划信息。
图10是本公开实施例提供的一种电子设备的结构示意图,包括:处理器50和存储器60;处理器50通过调用存储器60存储的程序或指令,用于执行如上述任意实施例所述的车道级导航规划的步骤。此外,电子设备还可以包括至少一个通信接口70。电子设备中的各个组件通过总线系统80耦合在一起。通信接口70,用于与外部设备之间的信息传输。可理解,总线系统80用于实现这些组件之间的连接通信。总线系统80除包括数据总线之外,还包括电源总线、控制总线和状态信号总线。
本公开实施例提供的车道级导航规划可以应用于处理器50中,或者由处理器50实现。处理器50可以是一种集成电路芯片,具有信号的处理能力。在实现过程中,上述方法的各步骤可以通过处理器50调用存储器60存储的程序或指令中的硬件的集成逻辑电路或者软件形式的指令完成。上述的处理器50可以是通用处理器、数字信号处理器(Digital SignalProcessor,DSP)、专用集成电路(Application Specific Integrated Circuit,ASIC)、现成可编程门阵列(Field Programmable Gate Array,FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。
本公开实施例还提出一种计算机可读存储介质,计算机可读存储介质存储程序或指令,程序或指令使计算机执行如车道级导航规划方法各实施例的步骤,为避免重复描述,在此不再赘述。
图11为本公开实施例提供的一种车辆的结构框图,如图11所示,本公开实施例还提供一种车辆,该车辆包括本公开实施例所述的电子设备。其中,该电子设备例如包括系统主机,如图11所示,系统主机例如包括车道定位模块、无需变道行驶道路区域确定模块、可到达目的地道路区域确定模块和车道导航规划信息确定模块。如图11所示,车辆例如还包括定位装置,车辆当前位置可以通过定位装置获取。例如:全球定位系统(Global Positioning System,GPS)定位装置、高精度卫星定位装置、惯性测量单元(Inertial Measurement Unit,IMU)等。全球定位系统定位装置可以获得卫星信号,实时计算出经纬度信息,并根据经纬度信息确定车辆当前的位置信息。高精度卫星定位装置可以实时获取当前车辆亚米级的定位信息,该定位信息包括但不限于车辆的经度、纬度、高度、航向角。车辆当前位置例如可以包括车辆所在道路以及行驶方向等。确定车辆所在道路以及行驶方向等后,可以根据地图信息读取当前所在道路对应的车道总数信息、有无应急车道的信息等(为方便描述,后续统称为车道模型)。
车辆例如还包括采集装置,车辆感知道路信息可以通过采集装置获取。采集装置包括但不限于摄像头、激光雷达等。该摄像头例如可以是安装在车辆的前风挡玻璃内的前视摄像头。本实施例中的采集装置可以采集车辆感知道路信息。车辆感知道路信息包括但不限于感知车道线信息、感知道路边界信息以及周边车辆信息等。感知车道线信息例如可以包括车道线的横向距离、斜率、曲率、线型(实线、虚线)、有效长度等。感知道路边界信息例如可以包括护栏的侧向位置、斜率、曲率、有效长度及线型等。周边车辆信息例如可以包括运动车辆的纵向位置、横向位置、纵向车速等。车辆感知道路信息是指采集装置实时获取的车辆所处位置附近的真实的道路信息。
车辆例如还包括人机交互显示装置和扬声器。人机交互显示装置用于对驾驶员进行系统功能的调用和配置,以及显示车辆系统的导航规划结果与必要信息。该系统功能的调用和配置包括但不限于:开启导航功能、输入导航目的地信息、设置驾驶偏好。该必要信息包括但不限于:导航地图的可视化图形、无需变道行驶道路区域、可达到目的地道路区域、限速信息、驾驶行为决策结果等。扬声器可以播放由车辆系统主机发送的提示语音。车道路线规划信息通过人机交互显示装置显示相应信息,并通过扬声器播放提示语音。
示例性地,该车辆通过采集装置获取车辆感知道路信息,车辆通过定位装置获取车辆当前位置及地图信息,主机系统通过车道定位模块基于车辆当前位置、地图信息以及车辆感知道路信息确定车辆当前定位车道。无需变道行驶道路区域确定模块基于车辆当前位置、目的地位置以及地图信息确定无需变道行驶道路区域。可到达目的地道路区域确定模块基于无需变道行驶道路区域确定可到达目的地道路区域。车道导航规划信息确定模块基于车辆当前定位车道、无需变道行驶道路区域以及可到达目的地道路区域确定车道导航规划信息。然后通过人机交互显示装置向驾驶员提供该车道导航规划信息,并伴随扬声器的语音提示。
例如,通过系统主机确定出车道路线规划信息为向左变道。通过人机交互显示装置提示驾驶员“观察道路情况,请向左变道”,人机交互显示装置中的无需变道行驶道路区域或者可到达目的地道路区域闪烁显示,并伴随扬声器的语音提示。或者,通过系统主机确定出车道路线规划信息为向右变道。通过人机交互显示装置提示驾驶员“观察道路情况,请向右变道”,人机交互显示装置中的无需变道行驶道路区域或者可到达目的地道路区域闪烁显示,并伴随扬声器的语音提示。或者,系统主机判断当前定位车道位于可到达目的地道路区域外,说明车辆已经偏航,在当前的车道行驶无法到达目的地位置,因而确定车道路线规划信息为驶离规划道路。通过人机交互显示装置提示驾驶员“已偏航,即将重新规划路线”,人机交互显示装置中的可到达目的地道路区域闪烁显示,并伴随扬声器的语音提示,以提示驾驶员当前行驶规划路线已经偏航。本公开实施例通过人机交互显示装置与扬声器提示驾驶员可以降低驾驶员的精力分散,提高车辆驾驶的安全性。同时,该车道导航规划信息是具体到车道级的导航规划信息,无需驾驶员应对复杂的路况或者对车辆的驾驶路线进行规划即可以得出车道导航规划信息,从而有效的减轻驾驶员的决策压力,提高车辆驾驶的安全性。
需要说明的是,在本文中,诸如“第一”和“第二”等之类的关系术语仅仅用来将一个实体或者操作与另一个实体或操作区分开来,而不一定要求或者暗示这些实体或操作之间存在任何这种实际的关系或者顺序。而且,术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含,从而使得包括一系列要素的过程、方法、物品或者设备不仅包括那些要素,而且还包括没有明确列出的其他要素,或者是还包括为这种过程、方法、物品或者设备所固有的要素。在没有更多限制的情况下,由语句“包括一个……”限定的要素,并不排除在包括所述要素的过程、方法、物品或者设备中还存在另外的相同要素。
以上所述仅是本公开的具体实施方式,使本领域技术人员能够理解或实现本公开。对这些实施例的多种修改对本领域的技术人员来说将是显而易见的,本文中所定义的一般原理可以 在不脱离本公开的精神或范围的情况下,在其它实施例中实现。因此,本公开将不会被限制于本文所示的这些实施例,而是要符合与本文所公开的原理和新颖特点相一致的最宽的范围。
工业实用性
本公开提供的该车道级导航规划方法中,首先基于车辆当前位置、地图信息以及车辆感知道路信息确定车辆当前定位车道,这样可以对车辆当前所位于的车道进行准确的定位,获取车辆当前定位车道。然后基于车辆当前位置、目的地位置以及地图信息确定无需变道行驶道路区域,基于无需变道行驶道路区域确定可到达目的地道路区域。无需变道行驶道路区域为根据地图信息确定的车辆从当前位置到达目的地位置的车辆无需进行变道行驶的区域。可到达目的地道路区域包括所有可以到达目的地位置的道路区域,即包括无需变道行驶道路区域,还包括需要进行变道操作的道路区域。这样可以基于车辆当前定位车道、无需变道行驶道路区域以及可到达目的地道路区域确定出车道导航规划信息。该车道导航规划信息是具体到车道级的导航规划信息,无需驾驶员应对复杂的路况或者对车辆的驾驶路线进行规划即可以得出车道导航规划信息,从而有效的减轻驾驶员的决策压力,提高车辆驾驶的安全性,具有很强的工业实用性。

Claims (19)

  1. 一种车道级导航规划方法,其特征在于,包括:
    基于车辆当前位置、地图信息以及车辆感知道路信息确定车辆当前定位车道;
    基于车辆当前位置、目的地位置以及地图信息确定无需变道行驶道路区域;
    基于所述无需变道行驶道路区域确定可到达目的地道路区域;
    基于所述车辆当前定位车道、所述无需变道行驶道路区域以及所述可到达目的地道路区域确定车道导航规划信息。
  2. 根据权利要求1所述的车道级导航规划方法,其特征在于,所述基于车辆当前位置、地图信息以及车辆感知道路信息确定车辆当前定位车道包括:
    基于车辆当前位置以及地图信息,生成第一积分表;
    基于车辆感知道路信息确定所述第一积分表中各车道的积分值;
    将所述第一积分表中积分值大于第一预设值的车道确定为当前定位车道;
    将所述车辆感知道路信息与当前定位车道比对,确定第一失配积分值;
    若所述第一失配积分值大于第二预设值,将车道积分表清零,返回执行所述基于车辆当前位置以及地图信息,生成车道积分表。
  3. 根据权利要求1所述的车道级导航规划方法,其特征在于,所述基于车辆当前位置、地图信息以及车辆感知道路信息确定车辆当前定位车道包括:
    判断车辆当前位置的定位可信度大于预设可信度阈值;
    若车辆当前位置的定位可信度大于预设可信度阈值,根据车辆当前位置以及地图信息,确定当前定位车道;否则,将车辆当前位置在地图信息中对应道路信息与车辆感知道路信息比对生成第二积分表,并将所述第二积分表中积分值大于第三预设值的车道确定为当前定位车道;
    将所述当前定位车道在地图信息中对应道路信息与所述车辆感知道路信息比对,确定第二失配积分值;
    若所述第二失配积分值大于第四预设值,返回执行判断车辆当前位置的定位可信度大于预设可信度阈值。
  4. 根据权利要求3所述的车道级导航规划方法,其特征在于,所述将车辆当前位置在地图信息中对应道路信息与车辆感知道路信息比对生成第二积分表,包括:
    基于所述车辆当前位置在地图信息中对应道路信息的车道线信息与车辆感知道路信息中的车道线信息比对结果、所述车辆当前位置在地图信息中对应道路信息的道路边界与车辆感知道路信息中的车道线的位置关系,以及所述车辆感知道路信息中的周边车辆信息与所述车辆当前位置在地图信息中车道线的位置关系中的至少一种生成第二积分表。
  5. 根据权利要求3所述的车道级导航规划方法,其特征在于,在将所述当前定位车道在地图信息中对应道路信息与所述车辆感知道路信息比对,确定第二失配积分值之前,还包括:
    判断车辆当前位置的定位可信度大于预设可信度阈值后,将当前的第二失配积分值清零。
  6. 根据权利要求3所述的车道级导航规划方法,其特征在于,所述将所述当前定位车道在地图信息中对应道路信息与所述车辆感知道路信息比对,确定第二失配积分值,包括:
    基于所述车辆当前位置在地图信息中对应道路信息的车道线信息与车辆感知道路信息中的车道线信息比对结果、所述车辆当前位置在地图信息中对应道路信息的道路边界与车辆感知道路信息中的车道线的位置关系,以及所述车辆感知道路信息中的周边车辆信息与所述车辆当前位置在地图信息中车道线的位置关系中的至少一种确定第二失配积分值。
  7. 根据权利要求3所述的车道级导航规划方法,其特征在于,还包括:
    若根据车辆当前位置以及地图信息,确定当前定位车道发生变换,判断车辆当前位置的 定位可信度大于预设可信度阈值,更新当前定位车道;
    否则,在根据车辆感知道路信息确定车辆变道时,更新当前定位车道。
  8. 根据权利要求2或权利要求3所述的车道级导航规划方法,其特征在于,在基于车辆当前位置、地图信息以及车辆感知道路信息确定车辆当前定位车道过程中,还包括:
    在基于所述地图信息确定当前车道数量发生变化后,将所述第一积分表或所述第二积分表清零。
  9. 根据权利要求1所述的车道级导航规划方法,其特征在于,所述基于车辆当前位置、目的地位置以及地图信息确定无需变道行驶道路区域,包括:
    基于车辆当前位置、目的地位置以及地图信息确定导航路线;
    将所述导航路线对应的地图信息重组分段形成地图数据矩阵,以使所述地图数据矩阵中同一分段内沿行驶方向的道路信息相同;
    根据所述地图数据矩阵中不同分段中车道的连通关系,将所述地图数据矩阵重组生成地图空间矩阵,以使所述地图空间矩阵中不同分段内直接连通的车道对齐;
    基于目的地位置在所述地图空间矩阵对应车道,以及所述地图空间矩阵的车道线信息确定无需变道行驶道路区域。
  10. 根据权利要求9所述的车道级导航规划方法,其特征在于,所述基于目的地位置在所述地图空间矩阵对应车道,以及所述地图空间矩阵的车道线信息确定无需变道行驶道路区域,包括:
    将目的地位置在所述地图空间矩阵对应车道作为初始无需变道行驶道路区域;
    若所述初始无需变道行驶道路区域存在任意侧车道线类型为虚线,且长度大于变道所需距离,将所述初始无需变道行驶道路区域向该虚线车道线的一侧扩展一个车道;从车辆当前位置起,扩展的车道长度为该虚线车道线与变道所需距离的差值;
    若扩展后的初始无需变道行驶道路区域存在任意侧车道线类型为虚线,且长度大于变道所需距离,将扩展后的初始无需变道行驶道路区域向该虚线车道线的一侧扩展一个车道,直至扩展后的初始无需变道行驶道路区域不存在任意侧车道线类型为虚线且长度大于变道所需距离,获得无需变道行驶道路区域。
  11. 根据权利要求9所述的车道级导航规划方法,其特征在于,所述基于所述无需变道行驶道路区域确定可到达目的地道路区域,包括:
    从所述地图空间矩阵距离车辆当前位置最远端开始,若所述无需变道行驶道路区域任意一侧车道线类型为虚线,将所述无需变道行驶道路区域向该虚线车道线扩展一个车道,直至扩展后的无需变道行驶道路区域的两侧车道线类型为实线,获得可到达目的地道路区域。
  12. 根据权利要求1所述的车道级导航规划方法,其特征在于,所述基于所述车辆当前定位车道、所述无需变道行驶道路区域以及所述可到达目的地道路区域确定车道导航规划信息,包括:
    基于所述车辆当前定位车道与所述无需变道行驶道路区域的位置关系,和/或,所述车辆当前定位车道与所述可到达目的地道路区域的位置关系确定车道路线规划信息。
  13. 根据权利要求12所述的车道级导航规划方法,其特征在于,所述基于所述车辆当前定位车道与所述无需变道行驶道路区域的位置关系,和/或,所述车辆当前定位车道与所述可到达目的地道路区域的位置关系确定车道路线规划信息,包括:
    判断所述当前定位车道是否位于所述无需变道行驶道路区域内,若是,确定所述车道路线规划信息为正常行驶;
    否则,判断所述当前定位车道是否位于所述可到达目的地道路区域内;
    若是,判断所述当前定位车道位于所述无需变道行驶道路区域的左侧或右侧;
    若所述当前定位车道位于所述无需变道行驶道路区域的右侧,则确定所述车道路线规划 信息为向左变道;若所述当前定位车道位于所述无需变道行驶道路区域的左侧,则确定所述车道路线规划信息为向右变道;
    若所述当前定位车道位于所述可到达目的地道路区域外,确定所述车道路线规划信息为驶离规划道路。
  14. 根据权利要求1所述的车道级导航规划方法,其特征在于,所述基于所述当前定位车道、所述无需变道行驶道路区域以及所述可到达目的地道路区域确定车道导航规划信息,包括:
    基于所述车辆当前位置、所述无需变道行驶道路区域以及所述可到达目的地道路区域确定所述车辆当前位置与需变道节点之间的距离;
    根据所述当前定位车道确定当前定位车道的限速;
    根据所述当前定位车道对应的限速以及所述车辆当前位置与需变道节点之间的距离,确定车速规划信息。
  15. 根据权利要求14所述的车道级导航规划方法,其特征在于,所述根据所述当前定位车道对应的限速以及所述车辆当前位置与需变道节点之间的距离,确定车速规划信息,包括:
    判断所述车辆当前位置与需变道节点之间的距离是否大于预设距离阈值;
    若是,则将所述当前定位车道对应的限速确定为第一规划车速;
    否则,生成车辆减速提示和/或第二规划车速,所述第二规划车速小于所述当前定位车道对应的限速。
  16. 一种车道级导航规划装置,其特征在于,包括:
    车道定位模块,用于基于车辆当前位置、地图信息以及车辆感知道路信息确定车辆当前定位车道;
    无需变道行驶道路区域确定模块,用于基于车辆当前位置、目的地位置以及地图信息确定无需变道行驶道路区域;
    可到达目的地道路区域确定模块,用于基于所述无需变道行驶道路区域确定可到达目的地道路区域;
    车道导航规划信息确定模块,用于基于所述车辆当前定位车道、所述无需变道行驶道路区域以及所述可到达目的地道路区域确定车道导航规划信息。
  17. 一种电子设备,其特征在于,包括:处理器和存储器;
    所述处理器通过调用所述存储器存储的程序或指令,用于执行如权利要求1至15任一项所述方法的步骤。
  18. 一种计算机可读存储介质,其特征在于,所述计算机可读存储介质存储程序或指令,所述程序或指令使计算机执行如权利要求1至15任一项所述方法的步骤。
  19. 一种车辆,其特征在于,包括如权利要求17所述的电子设备。
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