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Which Terrain Is Better? Preference Learning with VLM Prototypes for Off-Road Traversability Ranking

Hwang, Ji-Hoon et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitionrobotics
In vision-based off-road navigation, a robot needs to know not only which obstacles to avoid but also which terrain is better. The first is handled by freespace detection or semantic segmentation. The second is usually answered with a traversability score, but no universal ground truth exists for su
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