Terrain traversability prediction for off-road vehicles based on multi-source transfer learning

Abstract In this paper, a novel terrain traversability prediction method is proposed for new operation environments. When an off-road vehicle is operated on rough terrains or slopes made up of unconsolidated materials, it is crucial to accurately predict terrain traversability to ensure efficient op...

Full description

Bibliographic Details
Main Authors: Hiroaki Inotsume, Takashi Kubota
Format: Article
Language:English
Published: SpringerOpen 2022-02-01
Series:ROBOMECH Journal
Subjects:
Online Access:https://doi.org/10.1186/s40648-021-00215-3