2023
Toward a Robust Sensor Fusion Step for 3D Object Detection on Corrupted Data
RA-L 2023
Multimodal sensor fusion methods for 3D object detection have been revolutionizing the autonomous driving research field. Nevertheless, most of these methods heavily rely on dense LiDAR data and accurately calibrated sensors which is often not the case in real-world scenarios. Data from LiDAR and ca