An emergency pedestrian collision avoidance system based on V2V communication

Zixuan Qian; Jiawang Yong; Yiyao Dong; Wanting Li

doi:10.1117/12.3025710

1 April 2024 An emergency pedestrian collision avoidance system based on V2V communication

Zixuan Qian, Jiawang Yong, Yiyao Dong, Wanting Li

Proceedings Volume 13081, Third International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2023); 130811A (2024) https://doi.org/10.1117/12.3025710
Event: 2023 3rd International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2023), 2023, Tianjin, China

Abstract

In order to improve driving safety in blind-spot dangerous scenarios of which pedestrians traverse in front of stationary obstacle vehicle (OV) and collide with the host vehicle (HV), a pedestrian collision avoidance system based on vehicle-to-vehicle (V2V) communication is proposed. Position and speed information of the pedestrian is detected by the OV sensors and transmitted to the HV by V2V communication, and the relative position and speed information between HV and pedestrian is derived by coordinate transformation. Longitudinal distance model including warning safety distance, braking-trigger safety distance, and minimum safety distance, along with lateral model for categorizing danger levels are established to determine the decision-making actions (normal driving, braking or steering) of HV. A multi-constraint optimization-based obstacle avoidance trajectory planning method based on a quintic polynomial is presented for steering scenario. The effectiveness of V2V-based collision avoidance strategy in the blind spot dangerous scenario is simulated and verified by the co-simulation of PreScan, CarSim, and MATLAB. The results reveal that through the utilization of V2V communication, HV can proactively acquire real-time pedestrian motion data to determine collision avoidance strategies appropriately under different emergency scenarios, and thereby ensuring the safety of both AV and pedestrian.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zixuan Qian, Jiawang Yong, Yiyao Dong, and Wanting Li "An emergency pedestrian collision avoidance system based on V2V communication", Proc. SPIE 13081, Third International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2023), 130811A (1 April 2024); https://doi.org/10.1117/12.3025710

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available