@inproceedings{08618a88f8144413890f646847b15c74,
title = "Foggy Weather Analysis and Test Method Research of Automatic Driving Sensing System",
abstract = "With the improvement of the level of autonomous driving vehicles, the software and hardware structure of the autonomous driving system becomes more and more complex, so ensuring the safety of autonomous driving vehicles is the most important safety issue. At present, the commonly used test methods include closed sites, open roads, and simulation tests. The test focuses on conventional road sections, traffic objects, and sunny weather, but the actual driving process of vehicles encounters complex environments and scenes. In this paper, the exploration and practice of the hardware in the loop simulation test method of the automatic driving awareness system on foggy days were carried out, the working performance of the automatic driving awareness system under different visibility on foggy days was analyzed, and improvement suggestions were put forward for the measured sensors.",
keywords = "Foggy weather, Sensing system, Simulation test",
author = "Shaohua Liu and Zhiqiang Zhang and Juan Shi and Jiarui Zhang and Dongliang Geng",
note = "Publisher Copyright: {\textcopyright} 2022 SPIE.; 2022 International Conference on Smart Transportation and City Engineering, STCE 2022 ; Conference date: 25-11-2022 Through 27-11-2022",
year = "2022",
doi = "10.1117/12.2658236",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Miroslava Mikusova",
booktitle = "International Conference on Smart Transportation and City Engineering, STCE 2022",
address = "United States",
}