Research on Automatic Emergency Braking Pedestrian System Considering Road Adhesion Coefficient

<div>To further optimize the automatic emergency braking for pedestrian (AEB-P) control algorithm, this study proposes an AEB-P hierarchical control strategy considering road adhesion coefficient. First, the extended Kalman filter is used to estimate the road adhesion coefficient, and the recursive least square method is used to predict the pedestrian trajectory. Then, a safety distance model considering the influence factor of road adhesion coefficient is proposed to adapt to different road conditions. Finally, the desired deceleration is converted into the desired pressure and desired current to the requirements of the electric power-assisted braking system. The strategy is verified through the hardware-in-the-loop (HIL) platform; the simulation results show that the control algorithm proposed in this article can effectively avoid collision in typical scenarios, the safe distance of parking is between 0.61 m and 2.34 m, and the stop speed is in the range of 1.85 km/h–27.64 km/h.</div>

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Publication Details

Journal
SAE International journal of vehicle dynamics, stability, and NVH
Published
2025-03-08
DOI
https://doi.org/10.4271/10-09-03-0022
Citations
2
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
2.29
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article

Research on Automatic Emergency Braking Pedestrian System Considering Road Adhesion Coefficient

Yong Sun, Xinglong Yang, Liang Wang, Zijun Wang et al.
2 citations
SAE International journal of vehicle dynamics, stability, and NVH
Evacuation and Crowd Dynamics
2.29
article

Research on Automatic Emergency Braking Pedestrian System Considering Road Adhesion Coefficient

Yong Sun, Xinglong Yang, Liang Wang, Zijun Wang, Liang Ma, Chenghao Li
article en
2 citations

Abstract

<div>To further optimize the automatic emergency braking for pedestrian (AEB-P) control algorithm, this study proposes an AEB-P hierarchical control strategy considering road adhesion coefficient. First, the extended Kalman filter is used to estimate the road adhesion coefficient, and the recursive least square method is used to predict the pedestrian trajectory. Then, a safety distance model considering the influence factor of road adhesion coefficient is proposed to adapt to different road conditions. Finally, the desired deceleration is converted into the desired pressure and desired current to the requirements of the electric power-assisted braking system. The strategy is verified through the hardware-in-the-loop (HIL) platform; the simulation results show that the control algorithm proposed in this article can effectively avoid collision in typical scenarios, the safe distance of parking is between 0.61 m and 2.34 m, and the stop speed is in the range of 1.85 km/h–27.64 km/h.</div>

SAE International journal of vehicle dynamics, stability, and NVHVol. 09(3)
First Automotive Works (China) (CN)
Openalex Percentile: Top 14%
Evacuation and Crowd Dynamics
2.29
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