Mobile robot navigation using grid line patterns via probabilistic measurement modeling-Reference-Cited by-同舟云学术

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Mobile robot navigation using grid line patterns via probabilistic measurement modeling

Published:2016-01-30 Issue:2 Volume:9 Page:141-151
ISSN:1861-2776
Container-title:Intelligent Service Robotics
language:en
Short-container-title:Intel Serv Robotics

Author:

Kim Taeyun,Kim Jinwhan,Choi Hyun-Taek

Funder

Korea Research Institute of Ships and Ocean Engineering

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Mechanical Engineering,Engineering (miscellaneous),Computational Mechanics

Link

http://link.springer.com/content/pdf/10.1007/s11370-015-0191-0.pdf

Reference19 articles.

1. Blanc G, Mezouar Y,Martinet P (2005) Indoor navigation of a wheeled mobile robot along visual routes. In: Proceedings of the 2005 IEEE international conference on robotics and automation, 2005. ICRA 2005. IEEE, pp 3354–3359

2. Hayet J-B, Lerasle F, Devy M (2007) A visual landmark framework for mobile robot navigation. Image Vis Comput 25(8):1341–1351

3. Matsumoto Y, Ikeda K, Inaba M, Inoue H (1999) Visual navigation using omnidirectional view sequence. In: Proceedings of 1999 IEEE/RSJ international conference on intelligent robots and systems, 1999. IROS’99, vol 1. IEEE, pp 317–322

4. Matsumoto Y, Sakai K,Inaba M, Inoue H (2000) View-based approach to robot navigation. In: Proceedings of 2000 IEEE/RSJ international conference on intelligent robots and systems, 2000 (IROS 2000), vol 3. IEEE, pp 1702–1708

5. Pears N, Liang B (2001) Ground plane segmentation for mobile robot visual navigation. In: Proceedings of 2001 IEEE/RSJ international conference on intelligent robots and systems, 2001, vol 3. IEEE, pp 1513–1518

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