2 papers
cs.CV2026
AURORA-KITTI: Any-Weather Depth Completion and Denoising in the Wild
Yiting Wang, Tim Brödermann, Hamed Haghighi +4
Robust depth completion is fundamental to real-world 3D scene understanding, yet existing RGB-LiDAR fusion methods degrade significantly under adverse weather, where both camera im…
cs.CV2025
REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining
Abu Mohammed Raisuddin, Jesper Holmblad, Hamed Haghighi +4
Sensor degradation poses a significant challenge in autonomous driving. During heavy rainfall, the interference from raindrops can adversely affect the quality of LiDAR point cloud…