3 papers
cs.RO2026
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…
cs.RO2026
Pushing Radar Odometry Beyond the Pavement: Current Capabilities and Challenges
Shaunak Kolhe, Peng Jiang, Maggie Wigness +4
Radar offers unique advantages for localization in unstructured environments, including robustness to weather, lighting, and airborne particulates. While most prior work has studie…
cs.CV2026
Stylos: Multi-View 3D Stylization with Single-Forward Gaussian Splatting
Hanzhou Liu, Jia Huang, Mi Lu +2
We present Stylos, a single-forward 3D Gaussian framework for 3D style transfer that operates on unposed content, from a single image to a multi-view collection, conditioned on a s…