1 citations · 2 across the 6 of their papers we have counts for
6 papers
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…
Robust High-Speed State Estimation for Off-road Navigation using Radar Velocity Factors
Morten Nissov, Jeffrey A. Edlund, Patrick Spieler +3
Enabling robot autonomy in complex environments for mission critical application requires robust state estimation. Particularly under conditions where the exteroceptive sensors, wh…
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…
ROAMER: Robust Offroad Autonomy using Multimodal State Estimation with Radar Velocity Integration
Morten Nissov, Shehryar Khattak, Jeffrey A. Edlund +3
Reliable offroad autonomy requires low-latency, high-accuracy state estimates of pose as well as velocity, which remain viable throughout environments with sub-optimal operating co…
Pixel to Elevation: Learning to Predict Elevation Maps at Long Range using Images for Autonomous Offroad Navigation
Chanyoung Chung, Georgios Georgakis, Patrick Spieler +3
Understanding terrain topology at long-range is crucial for the success of off-road robotic missions, especially when navigating at high-speeds. LiDAR sensors, which are currently…