activity
20202026
most citedIDOL: A Framework for IMU-DVS Odometry using Lines

41 citations · 41 across the 16 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.RO2024

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…

cs.RO2024

Real-Time Truly-Coupled Lidar-Inertial Motion Correction and Spatiotemporal Dynamic Object Detection

Cedric Le Gentil, Raphael Falque, Teresa Vidal-Calleja

Over the past decade, lidars have become a cornerstone of robotics state estimation and perception thanks to their ability to provide accurate geometric information about their sur…

cs.RO2024

Mixing Data-driven and Geometric Models for Satellite Docking Port State Estimation using an RGB or Event Camera

Cedric Le Gentil, Jack Naylor, Nuwan Munasinghe +5

In-orbit automated servicing is a promising path towards lowering the cost of satellite operations and reducing the amount of orbital debris. For this purpose, we present a pipelin…

cs.RO2024

Towards Robust Perception for Assistive Robotics: An RGB-Event-LiDAR Dataset and Multi-Modal Detection Pipeline

Adam Scicluna, Cedric Le Gentil, Sheila Sutjipto +1

The increasing adoption of human-robot interaction presents opportunities for technology to positively impact lives, particularly those with visual impairments, through application…

cs.RO2024

Safe Bubble Cover for Motion Planning on Distance Fields

Ki Myung Brian Lee, Zhirui Dai, Cedric Le Gentil +3

We consider the problem of planning collision-free trajectories on distance fields. Our key observation is that querying a distance field at one configuration reveals a region of s…

cs.RO2024

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…