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- W4367681471 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." @default.
- W4367681471 created "2023-05-03" @default.
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- W4367681471 date "2023-05-02" @default.
- W4367681471 modified "2023-09-27" @default.
- W4367681471 title "V2X-based forward collision avoidance algorithm considering target multi-front vehicles interaction risk" @default.
- W4367681471 doi "https://doi.org/10.1117/12.2674857" @default.
- W4367681471 hasPublicationYear "2023" @default.
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