自动驾驶传感系统雾天天气分析及测试方法研究

Shaohua Liu, Zhiqiang Zhang, Juan Shi, Jiarui Zhang, Dongliang Geng
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引用次数: 0

摘要

随着自动驾驶车辆水平的提高,自动驾驶系统的软硬件结构变得越来越复杂,因此确保自动驾驶车辆的安全是最重要的安全问题。目前常用的试验方法有封闭场地、开放道路、模拟试验等。此次测试的重点是常规路段、交通物体和晴朗天气,但车辆的实际驾驶过程会遇到复杂的环境和场景。本文对雾天自动驾驶感知系统硬件在环仿真测试方法进行了探索与实践,分析了雾天不同能见度下自动驾驶感知系统的工作性能,并对被测传感器提出了改进建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Foggy weather analysis and test method research of automatic driving sensing system
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.
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