Data analysis of overtaking test scene in blind spot detection system

Kai Li; Liangyi Shen; Zhao Ji; Ruixuan Xi; Lingming Kong

doi:10.1117/12.3024332

14 February 2024 Data analysis of overtaking test scene in blind spot detection system

Kai Li, Liangyi Shen, Zhao Ji, Ruixuan Xi, Lingming Kong

Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 130181Q (2024) https://doi.org/10.1117/12.3024332
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China

Abstract

Blind Area Detection System (BSD) plays a positive role in reducing the occurrence of car accidents. This paper selected the test data of 16 cars passing through the C-NCAP(2021 edition) BSD C2C overtaking scene, and the box diagram is used for statistical analysis of the data. It is found that the warning time TTC of vehicles equipped with a BSD system is reasonable at present, which plays a safety warning role and will not cause too much discomfort to users. However, the alarm timing of the BSD system of a few vehicles is not suitable enough, which still needs to be improved. In addition, after the target vehicle crosses the test rear, the BSD system should use a more urgent alarm method to remind it.

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

Citation Download Citation

Kai Li, Liangyi Shen, Zhao Ji, Ruixuan Xi, and Lingming Kong "Data analysis of overtaking test scene in blind spot detection system", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 130181Q (14 February 2024); https://doi.org/10.1117/12.3024332

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