Paper
16 May 2024 Research on key scenario generation and simulation of automatic emergency braking function test under rain and fog weather conditions
Yu Tang, Qiang Zhang, Mengxia Hu, Jiangmin Zhang, Chunhong Xing
Author Affiliations +
Proceedings Volume 13160, Fourth International Conference on Smart City Engineering and Public Transportation (SCEPT 2024); 131600F (2024) https://doi.org/10.1117/12.3030599
Event: 4th International Conference on Smart City Engineering and Public Transportation (SCEPT 2024), 2024, Beijin, China
Abstract
This paper presents a method for generating and simulating critical scenarios for Automatic Emergency Braking (AEB) testing in rainy and foggy weather conditions. The method utilizes a subgradient descent optimization algorithm and a six-neighborhood flood-fill algorithm to search and generate critical hazard scenarios, based on a scenario importance model and threshold setting. Simulation results demonstrate that under clear weather conditions, the AEB system successfully triggers and prevents collisions. However, in snowy weather conditions, although the AEB system triggers, it fails to prevent collisions due to late triggering and insufficient braking deceleration. The experimental results validate the effectiveness of the proposed method in effectively testing the performance of AEB systems under different weather conditions. This research is of significant importance for enhancing the safety performance of AEB systems.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yu Tang, Qiang Zhang, Mengxia Hu, Jiangmin Zhang, and Chunhong Xing "Research on key scenario generation and simulation of automatic emergency braking function test under rain and fog weather conditions", Proc. SPIE 13160, Fourth International Conference on Smart City Engineering and Public Transportation (SCEPT 2024), 131600F (16 May 2024); https://doi.org/10.1117/12.3030599
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KEYWORDS
Roads

Rain

Data modeling

3D modeling

Fiber optic gyroscopes

Safety

Autonomous vehicles

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