Traversable terrain classification for outdoor autonomous robots using single 2D laser scans

Author:

Andersen Jens Christian1,Blas Morten Rufus2,Ravn Ole1,Andersen Nils A.1,Blanke Mogens1

Affiliation:

1. Automation, Ørsted • DTU, Technical University of Denmark, DTU-build. 326, DK-2800 Kgs. Lyngby, Denmark

2. ECO-DAN A/S, Bøgeskovvej 6, DK-3490, Kvistgaard, Denmark. E-mail: jca@oersted.dtu.dk, rufus.blas@gmail.com, naa@oersted.dtu.dk, mb@oersted.dtu.dk

Publisher

IOS Press

Subject

Artificial Intelligence,Computational Theory and Mathematics,Computer Science Applications,Theoretical Computer Science,Software

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A glance at the behaviour of a tracked mobile robot on different agricultural surfaces;2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor);2023-11-06

2. MoDeT: a low-cost obstacle tracker for self-driving mobile robot navigation using 2D-laser scan;Industrial Robot: the international journal of robotics research and application;2022-02-07

3. Open Water Detection for Autonomous In-harbor Navigation Using a Classification Network;IFAC-PapersOnLine;2021

4. The Problem of Using Landmarks for the Navigation of Mobile Autonomous Robots on Unknown Terrain;Advances in Computational Intelligence and Robotics;2020

5. Review of Related Work;Road Terrain Classification Technology for Autonomous Vehicle;2019

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