AI RESEARCH

Clear Roads, Clear Vision: Advancements in Multi-Weather Restoration for Smart Transportation

arXiv CS.AI

ArXi:2510.09228v2 Announce Type: replace-cross Adverse weather conditions such as haze, rain, and snow significantly degrade the quality of images and videos, posing serious challenges to intelligent transportation systems (ITS) that rely on visual input. These degradations affect critical applications including autonomous driving, traffic monitoring, and surveillance. This survey presents a comprehensive review of image and video restoration techniques developed to mitigate weather-induced visual impairments.