Research on autonomous emergency braking system strategy based on pedestrian crossing the road

Zhewen Tian; Yuming Wang

doi:10.1117/12.2623839

6 February 2022 Research on autonomous emergency braking system strategy based on pedestrian crossing the road

Zhewen Tian, Yuming Wang

Proceedings Volume 12081, Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021); 1208112 (2022) https://doi.org/10.1117/12.2623839
Event: Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021), 2021, Chongqing, China

Abstract

Aiming at avoiding the occurrence of collisions between vehicles and pedestrians, who were crossing roads, a fuzzy logic control - based collision risk assessment model, and a corresponding pedestrian AEB control strategy were proposed. The AEB control strategy consists of two levels of early warning outputs, and two levels of braking force outputs, which are based on the collision risk assessment results. First, a vehicle-pedestrian collision model was established. Then, a fuzzy control-based risk assessment model and an AEB longitudinal control strategy model were designed in Matlab/Simulink. Second, a simulation scene in PreScan was set up. Finally, the proposed control strategy was verified by a Simulink and PreScan co-simulation. The results showed that the in-house developed AEB control strategy could accurately assess the collision risk and take effective countermeasures to avoid collisions with pedestrians who were crossing roads at constant speeds. The strategy can accurately identify the change of the movement of the pedestrian. When the relative speed between the vehicle and the pedestrian is high, the proposed AEB control strategy can greatly reduce the collision speed, especially when pedestrians cross roads suddenly.

Citation Download Citation

Zhewen Tian and Yuming Wang "Research on autonomous emergency braking system strategy based on pedestrian crossing the road", Proc. SPIE 12081, Sixth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2021), 1208112 (6 February 2022); https://doi.org/10.1117/12.2623839

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KEYWORDS

Roads

Collision avoidance

Control systems

Sensors

Fuzzy logic

Lead

Scene simulation

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