Three-Way Open-Set Detection for Robust Autonomous Navigation
Industry
Source: arXiv cs.ROPublish time unverified
arXiv:2511.15343v2 Announce Type: replace-cross Abstract: Autonomous navigation in complex scenes requires reliable perception across scenarios that the model did not encounter during its training. Along its route, an autonomous framework encounters objects it was trained to recognize, obstacles it has never seen, and background structures that resemble objects. Each of the three must be handled differently.