Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection

arXiv:2404.15879v1 Announce Type: cross
Abstract: LiDAR-based 3D object detection has become an essential part of automated driving due to its ability to localize and classify objects precisely in 3D. However, object detectors face a critical challenge when dealing with unknown foreground objects, particularly those that were not present in their original training data. These out-of-distribution (OOD) objects can lead to misclassifications, posing a significant risk to the safety and reliability of automated vehicles. Currently, LiDAR-based OOD object detection has not …

3d object 3d object detection arxiv cs.cv cs.lg detection distribution lidar object type