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This review paper analyzes perception methods for intelligent connected vehicles (ICVs) in adverse weather conditions, focusing on data pre-processing, multi-sensor data fusion, and vehicle-infrastructure cooperation. It highlights the challenges faced by ICVs in achieving full autonomy due to limitations in perception accuracy and discusses the potential of vehicle-infrastructure cooperation systems to enhance environmental perception. The paper also proposes future research directions to improve cooperati

Author

herocode54

Language

EN