AI RESEARCH
ALOOD: Exploiting Language Representations for LiDAR-based Out-of-Distribution Object Detection
arXiv CS.LG
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ArXi:2603.08180v1 Announce Type: cross LiDAR-based 3D object detection plays a critical role for reliable and safe autonomous driving systems. However, existing detectors often produce overly confident predictions for objects not belonging to known categories, posing significant safety risks. This is caused by so-called out-of-distribution (OOD) objects, which were not part of the