KnUT: multimodal data for object, pose and behaviour OOD assessment

Overview

Describes the setup and labelling workflow of a multimodal OOD video dataset recorded with camera, LiDAR and radar on a cargo e-bike. Distinguishes unknown objects from unusual poses and behaviours of known classes, combining automated pre-labelling with manual corrections.