Supervised Learning of Natural-Terrain Traversability with Synthetic 3D Laser Scans

Supervised Learning of Natural-Terrain Traversability with Synthetic 3D Laser Scans

Autonomous navigation of ground vehicles on natural environments requires looking for traversable terrain continuously. This paper develops traversability classifiers for the three-dimensional (3D) point clouds acquired by the mobile robot Andabata on non-slippery solid ground. To this end, differen...

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Bibliographic Details
Main Authors: Jorge L. Martínez, Mariano Morán, Jesús Morales, Alfredo Robles, Manuel Sánchez
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Applied Sciences
Subjects:
traversability
supervised machine learning
3d laser scanner
field robotics
sensor simulation
Online Access:https://www.mdpi.com/2076-3417/10/3/1140

Internet

https://www.mdpi.com/2076-3417/10/3/1140

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