V2V-based front vehicle intention recognition system and recognition method

A recognition method and recognition system technology, applied in the field of intelligent networked vehicles, can solve problems such as sensor feedback data errors and affect the accuracy of intention recognition, and achieve the effects of ensuring accuracy, anthropomorphic decision-making and motion planning, and improving safety

Pending Publication Date: 2021-11-02
信通院车联网创新中心(成都)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the existing driving intention recognition, the vehicle’s perception of the surrounding environment is still based on traditional on-board perception sensors such as cameras and millimeter-wave radars. The driving intention of surrounding vehicles is reasoned and predicted through sensor feedback data. There are certain errors in the sensor feedback data, which affects the intention. recognition accuracy

Method used

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  • V2V-based front vehicle intention recognition system and recognition method
  • V2V-based front vehicle intention recognition system and recognition method
  • V2V-based front vehicle intention recognition system and recognition method

Examples

Experimental program
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Effect test

Embodiment 1

[0037] The BSM information of the preceding vehicle transmitted through V2V in Embodiment 1 includes the driving intention of the preceding vehicle, and the BSM information of the preceding vehicle transmitted through V2V in Embodiment 2 does not contain the driving intention of the preceding vehicle.

[0038] Example 1:

[0039] A V2V-based vehicle intention recognition system in front, the system includes a perception module, a decision-making planning module, and an execution control module, and the perception module, decision-making planning module, and execution control module are connected in sequence.

[0040] The perception module is provided with a vehicle-mounted OBU unit, and the system is also provided with an intention identification module for identifying the driving intention of the vehicle. Self-driving intention recognition.

[0041] The vehicle-mounted OBU unit receives the BSM information with intention information through the V2V method, and determines the...

Embodiment 2

[0050] A V2V-based vehicle intention recognition system in front, the system includes a perception module, a decision-making planning module, and an execution control module, and the perception module, decision-making planning module, and execution control module are connected in sequence.

[0051] The perception module is provided with a vehicle-mounted OBU unit, and the system is also provided with an intention identification module for identifying the driving intention of the vehicle, and the intention identification module is provided in the decision-making planning module.

[0052] The vehicle-mounted OBU unit receives BSM information without intention information through V2V mode, first judges the positional relationship between vehicles to determine the vehicle in front, and then the intention identification module in the decision-making planning module performs driving intention identification of the vehicle in front according to the BSM information.

[0053] The sensin...

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Abstract

The invention discloses a V2V-based front vehicle intention recognition system and recognition method, and belongs to the technical field of intelligent networked vehicles. The system comprises a sensing module, a decision planning module and an execution control module, wherein the sensing module, the decision planning module and the execution control module are connected in sequence. Compared with the prior art, the system has the advantages that firstly, the driving intention of the front vehicle is sensed in a V2V mode, the defect that a vehicle-mounted sensor of the vehicle obtains information is overcome, V2V beyond-visual-range information can guarantee that driving intention recognition of other vehicles can be obtained earlier, and thus the vehicle is enabled to make more accurate, effective and anthropomorphic decisions and motion plans. Secondly, the front vehicle information is obtained in the V2V mode so that the accuracy of front vehicle intention recognition is ensured, and the safety of vehicle driving is improved.

Description

Technical field: [0001] The invention belongs to the technical field of intelligent networked vehicles, and in particular relates to a V2V-based vehicle intention recognition system and a recognition method. Background technique: [0002] In the period of rapid development of automobile intelligence and networking, the safety and comfort of car driving is still a major issue that needs to be considered by intelligent connected vehicles. Both technologies need to be further improved. At the level of perception technology, V2X can break through the perception boundary of bicycle intelligence, obtain environmental blind area information and beyond-the-horizon information, and obtain richer and more accurate surrounding environment information. [0003] The environmental information obtained through V2X can be mined at a deeper level, such as more accurately judging the driving intentions of other vehicles. The recognition of other vehicles' driving intentions can enable the own...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B60W60/00B60W40/00
CPCB60W60/0027B60W40/00B60W2520/125B60W2520/06B60W2540/18B60W2554/404B60W2420/52B60W2420/42B60W2556/40
Inventor 左益芳王龙翔毛祺琦吴旭楠
Owner 信通院车联网创新中心(成都)有限公司
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