ForestTrav: 3D LiDAR-Only Forest Traversability Estimation for Autonomous Ground Vehicles
Autonomous navigation in unstructured vegetated environments remains an open challenge. To successfully operate in these settings, autonomous ground vehicles (AGVs) must assess the environment and determine which vegetation is pliable enough to safely traverse. In this paper, we propose ForestTrav (...
Main Authors: | Fabio A. Ruetz, Nicholas Lawrance, Emili Hernandez, Paulo V. K. Borges, Thierry Peynot |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10458917/ |
Similar Items
-
On the Road: Route Proposal from Radar Self-Supervised by Fuzzy LiDAR Traversability
by: Michael Broome, et al.
Published: (2020-12-01) -
Implementing LiDAR-based SLAM algorithms for enhanced mapping and localization in physical robots
by: Ang, Ken Huat
Published: (2024) -
The Influence of Micro-Hexapod Walking-Induced Pose Changes on LiDAR-SLAM Mapping Performance
by: Hiroshi Seki, et al.
Published: (2024-01-01) -
Simulation of an Autonomous Mobile Robot for LiDAR-Based In-Field Phenotyping and Navigation
by: Jawad Iqbal, et al.
Published: (2020-06-01) -
A Soft Actor-Critic Deep Reinforcement-Learning-Based Robot Navigation Method Using LiDAR
by: Yanjie Liu, et al.
Published: (2024-06-01)