4 papers
GO: The Great Outdoors Multimodal Dataset
Peng Jiang, Kasi Viswanath, Akhil Nagariya +8
The Great Outdoors (GO) dataset is a multi-modal annotated data resource aimed at advancing ground robotics research in unstructured environments. Existing off-road datasets often…
Trailblazer: Learning offroad costmaps for long range planning
Kasi Viswanath, Felix Sanchez, Timothy Overbye +2
Autonomous navigation in off-road environments remains a significant challenge in field robotics, particularly for Unmanned Ground Vehicles (UGVs) tasked with search and rescue, ex…
Learning Autonomy: Off-Road Navigation Enhanced by Human Input
Akhil Nagariya, Dimitar Filev, Srikanth Saripalli +1
In the area of autonomous driving, navigating off-road terrains presents a unique set of challenges, from unpredictable surfaces like grass and dirt to unexpected obstacles such as…
Reflectivity Is All You Need!: Advancing LiDAR Semantic Segmentation
Kasi Viswanath, Peng Jiang, Srikanth Saripalli
LiDAR semantic segmentation frameworks predominantly use geometry-based features to differentiate objects within a scan. Although these methods excel in scenarios with clear bounda…