10 papers · 1 filter
SplatlessDF: Continuous Distance Field Mapping with Non-Splatting Gaussians
Monisha Mushtary Uttsha, Lan Wu, Teresa Vidal-Calleja
Recent Gaussian splatting (GS) methods have shown that scenes can be represented efficiently with optimisable Gaussians for high-quality reconstruction and rendering. In this paper…
DisFlow: Scene Flow from Distance Field for Object Pose, Velocity Tracking, and Dynamic Object Reconstruction
Lan Wu, Sheila Sutjipto, Jennifer Wakulicz +1
We present \emph{DisFlow}, a novel framework for online scene flow estimation from distance field that enables \emph{6DoF dynamic object pose estimation}, \emph{motion tracking}, a…
Listen to Your Map: An Online Representation for Spatial Sonification
Lan Wu, Craig Jin, Monisha Mushtary Uttsha +1
Robotic perception is becoming a key technology for navigation aids, especially helping individuals with visual impairments through spatial sonification. This paper introduces a ma…
VDB-GPDF: Online Gaussian Process Distance Field with VDB Structure
Lan Wu, Cedric Le Gentil, Teresa Vidal-Calleja
Robots reason about the environment through dedicated representations. Popular choices for dense representations exploit Truncated Signed Distance Functions (TSDF) and Octree data…
Gaussian Process Distance Fields Obstacle and Ground Constraints for Safe Navigation
Monisha Mushtary Uttsha, Cedric Le Gentil, Lan Wu +1
Navigating cluttered environments is a challenging task for any mobile system. Existing approaches for ground-based mobile systems primarily focus on small wheeled robots, which fa…
Interactive Distance Field Mapping and Planning to Enable Human-Robot Collaboration
Usama Ali, Lan Wu, Adrian Mueller +3
Human-robot collaborative applications require scene representations that are kept up-to-date and facilitate safe motions in dynamic scenes. In this letter, we present an interacti…