63 citations · 147 across the 32 of their papers we have counts for
39 papers
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…
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…
Exploring Unstructured Environments using Minimal Sensing on Cooperative Nano-Drones
Pedro Arias-Perez, Alvika Gautam, Miguel Fernandez-Cortizas +3
Recent advances have improved autonomous navigation and mapping under payload constraints, but current multi-robot inspection algorithms are unsuitable for nano-drones due to their…
3DGS-ReLoc: 3D Gaussian Splatting for Map Representation and Visual ReLocalization
Peng Jiang, Gaurav Pandey, Srikanth Saripalli
This paper presents a novel system designed for 3D mapping and visual relocalization using 3D Gaussian Splatting. Our proposed method uses LiDAR and camera data to create accurate…
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…