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2 May 2023 V2X-based forward collision avoidance algorithm considering target multi-front vehicles interaction risk
Yang Liu, Zhigang Wang, Yuan Li, Xin Zhou, Chunlei Ma, Dinghai Pan
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Proceedings Volume 12642, Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023); 1264222 (2023) https://doi.org/10.1117/12.2674857
Event: Second International Conference on Electronic Information Engineering, Big Data and Computer Technology (EIBDCT 2023), 2023, Xishuangbanna, China
Abstract
The study aims to improve the safety of the ADAS (Advanced Driver Assistance System) system under the challenging scenarios of single vehicle perception long tail or complex extreme driving conditions. In multiple vehicles following driving scenarios, when the remote target vehicle is blocked by the nearby target vehicle, the single-vehicle intelligence will be limited by its perception range and FOV (Field of View) and cannot respond in time, probably leading to collision accident or emergency braking thereby reducing the riding comfort. To solve these issues, we developed a V2X (Vehicle to Everything)-based ADAS system and designed a decision-making algorithm considering the interaction risk between multiple target vehicles by V2V (Vehicle to Vehicle) communication. Simulation and vehicle tests showed that compared with traditional single-vehicle intelligence schemes, the V2X-based ADAS system and the decision-making algorithm could provide about 1.75 s earlier time for braking, significantly improving driving safety. Reducing the braking force by about 30% can significantly improve ride comfort at the same time. This study can effectively improve vehicle driving safety under extreme conditions, which has theoretical value for the V2X application in mass-production vehicles.
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Yang Liu, Zhigang Wang, Yuan Li, Xin Zhou, Chunlei Ma, and Dinghai Pan "V2X-based forward collision avoidance algorithm considering target multi-front vehicles interaction risk", Proc. SPIE 12642, Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023), 1264222 (2 May 2023); https://doi.org/10.1117/12.2674857
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KEYWORDS
Safety
Roads
Algorithm development
Collision avoidance
Decision making
Sensors
Autonomous vehicles
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