3 papers
cs.RO2026
Learning When to Jump for Off-road Navigation
Zhipeng Zhao, Taimeng Fu, Shaoshu Su +5
Low speed does not always guarantee safety in off-road driving. For instance, crossing a ditch may be risky at a low speed due to the risk of getting stuck, yet safe at a higher sp…
cs.RO2026
CLEAR: A Semantic-Geometric Terrain Abstraction for Large-Scale Unstructured Environments
Pranay Meshram, Charuvahan Adhivarahan, Ehsan Tarkesh Esfahani +3
Long-horizon navigation in unstructured environments demands terrain abstractions that scale to tens of square kilometers while preserving semantic and geometric structure. Grids s…
cs.CV2025
You Only Crash Once v2: Perceptually Consistent Strong Features for One-Stage Domain Adaptive Detection of Space Terrain
Timothy Chase, Christopher Wilson, Karthik Dantu
The in-situ detection of planetary, lunar, and small-body surface terrain is crucial for autonomous spacecraft applications, where learning-based computer vision methods are increa…