2026
Weather-Robust LiDAR Perception: Point Cloud Restoration from Adverse Weather
AAAI 2026technical
Adverse weather conditions—such as rain, fog, and snow—significantly degrade LiDAR point cloud quality, causing substantial performance deterioration in detection models trained on clean data. To address this, we propose LTDNet, a novel point cloud quality improvement net-work that restores degraded