LiDAR system performance is highly influenced by surface properties and environmental conditions, particularly clear and rainy weather. This study investigates the impact of surface properties and rain on LiDAR performance, focusing on point cloud density and intensity within regions of interest (ROI). Data was collected in a container terminal during container handling operations under both weather conditions. Surface categories, including asphalt ground and container, were analyzed to evaluate differences in LiDAR performance metrics. Statistical analyses revealed that clear weather conditions yield more accurate and consistent LiDAR data compared to rainy conditions. These results highlight the significant influence of weather on LiDAR detection reliability and emphasize the need for robust LiDAR systems capable of maintaining performance across diverse environments. This research contributes to improving LiDAR-based sensing applications, particularly in environments with varying weather conditions, such as autonomous vehicles and industrial automation.
