Uncertainty-aware Perception Models for Off-road Autonomous Unmanned Ground Vehicles. (arXiv:2209.11115v1 [cs.RO])

Off-road autonomous unmanned ground vehicles (UGVs) are being developed for
military and commercial use to deliver crucial supplies in remote locations,
help with mapping and surveillance, and to assist war-fighters in contested
environments. Due to complexity of the off-road environments and variability in
terrain, lighting conditions, diurnal and seasonal changes, the models used to
perceive the environment must handle a lot of input variability. Current
datasets used to train perception models for off-road autonomous navigation
lack of diversity in seasons, …

arxiv autonomous perception uncertainty