13 citations · 17 across the 10 of their papers we have counts for
10 papers
Distilling Global Traversability Priors for Image-based Affordance Prediction in Off-road Environments
Matthew Sivaprakasam, Samuel Triest, Micah Nye +5
Standard methods for autonomous navigation in unstructured terrain are prone to myopic behaviors in long-horizon scenarios. The use of metric maps built from LiDAR or cameras provi…
WildOS: Open-Vocabulary Object Search in the Wild
Hardik Shah, Erica Tevere, Deegan Atha +6
Autonomous navigation in complex, unstructured outdoor environments requires robots to operate over long ranges without prior maps and limited depth sensing. In such settings, rely…
COARSE: Collaborative Pseudo-Labeling with Coarse Real Labels for Off-Road Semantic Segmentation
Aurelio Noca, Xianmei Lei, Jonathan Becktor +6
Autonomous off-road navigation faces challenges due to diverse, unstructured environments, requiring robust perception with both geometric and semantic understanding. However, scar…
Few-shot Semantic Learning for Robust Multi-Biome 3D Semantic Mapping in Off-Road Environments
Deegan Atha, Xianmei Lei, Shehryar Khattak +7
Off-road environments pose significant perception challenges for high-speed autonomous navigation due to unstructured terrain, degraded sensing conditions, and domain-shifts among…
RoadRunner M&M -- Learning Multi-range Multi-resolution Traversability Maps for Autonomous Off-road Navigation
Manthan Patel, Jonas Frey, Deegan Atha +3
Autonomous robot navigation in off-road environments requires a comprehensive understanding of the terrain geometry and traversability. The degraded perceptual conditions and spars…
ShadowNav: Autonomous Global Localization for Lunar Navigation in Darkness
Deegan Atha, R. Michael Swan, Abhishek Cauligi +5
The ability to determine the pose of a rover in an inertial frame autonomously is a crucial capability necessary for the next generation of surface rover missions on other planetar…
RoadRunner -- Learning Traversability Estimation for Autonomous Off-road Driving
Jonas Frey, Manthan Patel, Deegan Atha +7
Autonomous navigation at high speeds in off-road environments necessitates robots to comprehensively understand their surroundings using onboard sensing only. The extreme condition…
ShadowNav: Crater-Based Localization for Nighttime and Permanently Shadowed Region Lunar Navigation
Abhishek Cauligi, R. Michael Swan, Masahiro Ono +4
There has been an increase in interest in missions that drive significantly longer distances per day than what has currently been performed. Further, some of these proposed mission…
Self-Supervised Traversability Prediction by Learning to Reconstruct Safe Terrain
Robin Schmid, Deegan Atha, Frederik Schöller +8
Navigating off-road with a fast autonomous vehicle depends on a robust perception system that differentiates traversable from non-traversable terrain. Typically, this depends on a…
Lunar Rover Localization Using Craters as Landmarks
Larry Matthies, Shreyansh Daftry, Scott Tepsuporn +5
Onboard localization capabilities for planetary rovers to date have used relative navigation, by integrating combinations of wheel odometry, visual odometry, and inertial measureme…