Autonomous unmanned aerial vehicle (UAV) object search involves a closed loop of perception, decision-making, and action under partial observability. Urban environments pose several challenges: large search areas and narrow egocentric views limit coverage, dense 3D geometry constrains safe motion, and open-world instru...
Ya-Tai Ji, Zheng-Qiu Zhu, Yong Zhao et al.· 0 citations
SBFNav is introduced, a closed-loop navigation framework centered on a language- conditioned Spatial Belief Field (SBF) that preserves multiple spatial hypotheses under par- tial evidence and further confirms the advantages of spatial-belief modeling over single-point prediction.
Hao-Tian Xu, Yue Hu, Zheng-Qiu Zhu et al.· 0 citations
AGOS-Bench is introduced, the first dedicated benchmark for evaluating whether general-purpose Vision-Language Models (VLMs) can integrate aerial discoveries and ground-level verification through UAV-UGV cooperation, and AGOS-Agent is proposed, a training-free and tool-augmented approach to address the AGOS task.