Zobrazeno 1 - 10
of 371
pro vyhledávání: '"traversability estimation"'
Off-road environments present significant challenges for autonomous ground vehicles due to the absence of structured roads and the presence of complex obstacles, such as uneven terrain, vegetation, and occlusions. Traditional perception algorithms, d
Externí odkaz:
http://arxiv.org/abs/2412.08195
Autor:
Schreiber, Andre, Sivakumar, Arun N., Du, Peter, Gasparino, Mateus V., Chowdhary, Girish, Driggs-Campbell, Katherine
Successful deployment of mobile robots in unstructured domains requires an understanding of the environment and terrain to avoid hazardous areas, getting stuck, and colliding with obstacles. Traversability estimation--which predicts where in the envi
Externí odkaz:
http://arxiv.org/abs/2406.02822
This paper presents TE-NeXt, a novel and efficient architecture for Traversability Estimation (TE) from sparse LiDAR point clouds based on a residual convolution block. TE-NeXt block fuses notions of current trends such as attention mechanisms and 3D
Externí odkaz:
http://arxiv.org/abs/2406.01395
In this study, we address the off-road traversability estimation problem, that predicts areas where a robot can navigate in off-road environments. An off-road environment is an unstructured environment comprising a combination of traversable and non-
Externí odkaz:
http://arxiv.org/abs/2402.15363
Autor:
Frey, Jonas, Patel, Manthan, Atha, Deegan, Nubert, Julian, Fan, David, Agha, Ali, Padgett, Curtis, Spieler, Patrick, Hutter, Marco, Khattak, Shehryar
Autonomous navigation at high speeds in off-road environments necessitates robots to comprehensively understand their surroundings using onboard sensing only. The extreme conditions posed by the off-road setting can cause degraded camera image qualit
Externí odkaz:
http://arxiv.org/abs/2402.19341
With the increasing demand for mobile robots and autonomous vehicles, several approaches for long-term robot navigation have been proposed. Among these techniques, ground segmentation and traversability estimation play important roles in perception a
Externí odkaz:
http://arxiv.org/abs/2312.16839
Autor:
Moore, Charles, Mitra, Shaswata, Pillai, Nisha, Moore, Marc, Mittal, Sudip, Bethel, Cindy, Chen, Jingdao
A major challenge with off-road autonomous navigation is the lack of maps or road markings that can be used to plan a path for autonomous robots. Classical path planning methods mostly assume a perfectly known environment without accounting for the i
Externí odkaz:
http://arxiv.org/abs/2309.08814
Autor:
Rajput, Rohit Hiraman
This thesis enhances the autonomy of the M4 (Multi-Modal Mobility Morphobot) robot, designed for Mars and rescue missions. The research enables the robot to autonomously select its locomotion mode and path in complex terrains. Focusing on walking and
Externí odkaz:
http://arxiv.org/abs/2308.13972
ProNav: Proprioceptive Traversability Estimation for Legged Robot Navigation in Outdoor Environments
We propose a novel method, ProNav, which uses proprioceptive signals for traversability estimation in challenging outdoor terrains for autonomous legged robot navigation. Our approach uses sensor data from a legged robot's joint encoders, force, and
Externí odkaz:
http://arxiv.org/abs/2307.09754
Autonomous navigation in unstructured vegetated environments remains an open challenge. To successfully operate in these settings, ground vehicles must assess the traversability of the environment and determine which vegetation is pliable enough to p
Externí odkaz:
http://arxiv.org/abs/2305.12705