UDAV: Uncertainty-Driven Adaptive VLM Waypoint Planner
UDAV enhances autonomous off-road navigation by equipping vision-language models with critical reliability metrics.
Vision-language models (VLMs) can generate routes directly from aerial imagery for off-road navigation, but their predictions provide no indication of reliability. We present UDAV, an Uncertainty-Driven Adaptive VLM Waypoint Planner for UAV-guided UGV navigation. UDAV draws multi...
ArXiv CS.RO
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By integrating uncertainty quantification into vision-language models, UDAV effectively bridges the gap between high-level reasoning and reliable physical navigation. This advancement marks a critical step toward autonomous off-road systems that can distinguish between confident pathfinding and dangerous algorithmic guessing.
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