2 papers
cs.CV2025
Omnidirectional Depth-Aided Occupancy Prediction based on Cylindrical Voxel for Autonomous Driving
Chaofan Wu, Jiaheng Li, Jinghao Cao +6
Accurate 3D perception is essential for autonomous driving. Traditional methods often struggle with geometric ambiguity due to a lack of geometric prior. To address these challenge…
cs.CV2025
Robust and Flexible Omnidirectional Depth Estimation with Multiple 360-degree Cameras
Ming Li, Xuejiao Hu, Xueqian Jin +3
Omnidirectional depth estimation has received much attention from researchers in recent years. However, challenges arise due to camera soiling and variations in camera layouts, aff…