Advanced automotive active safety systems, in general, and autonomous vehicles, in particular, rely heavily on visual data to classify and localize objects, such as pedestrians, traffic signs and lights, and nearby cars, to help the corresponding vehicles maneuver safely in their environments. However, the performance of object detection methods could degrade rather significantly in challenging weather scenarios, including rainy conditions. Despite major advancements in the development of deraining approaches, the impact of rain on object detection has largely been understudied, especially in the context of autonomous driving.

中文翻译：

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自动驾驶汽车在雨天条件下的目标检测：最先进和新兴技术的回顾

一般而言，先进的汽车主动安全系统，尤其是自动驾驶汽车，严重依赖视觉数据来对行人、交通标志和信号灯以及附近的汽车等物体进行分类和定位，以帮助相应的车辆在其环境中安全行驶. 然而，在具有挑战性的天气场景（包括雨天）中，物体检测方法的性能可能会显着下降。尽管去雨方法的发展取得了重大进展，但雨水对物体检测的影响在很大程度上尚未得到充分研究，尤其是在自动驾驶的背景下。