Table of Contents
ISRN Sensor Networks
Volume 2013, Article ID 157409, 10 pages
http://dx.doi.org/10.1155/2013/157409
Research Article

Wireless Sensor Network and RFID Fusion Approach for Mobile Robot Navigation

1School of Advanced Engineering, Waseda University, 55N-4F-10A, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan
2Smart Vehicle Technology Research Center, Korea Automotive Technology Institute, 74 Yongjeong-Ri, Poongse-Myun, Dongnam-go, Cheonan-si, Chungnam 330-912, Republic of Korea

Received 25 November 2012; Accepted 16 December 2012

Academic Editors: T.-S. Chen, K. S. Lui, and A. Olteanu

Copyright © 2013 Guillermo Enriquez et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [5 citations]

The following is the list of published articles that have cited the current article.

  • J. Vascak, and J. Hvizdos, “Vehicle navigation by fuzzy cognitive maps using sonar and RFID technologies,” 2016 IEEE 14th International Symposium on Applied Machine Intelligence and Informatics (SAMI), pp. 75–80, . View at Publisher · View at Google Scholar
  • Hang Li, and Andrey V. Savkin, “A navigation algorithm for a non-holonomic mobile robot navigated by a sensor network in dynamic cluttered environments,” 2017 36th Chinese Control Conference (CCC), pp. 5801–5804, . View at Publisher · View at Google Scholar
  • Guillermo Enriquez, Sunhong Park, and Shuji Hashimoto, “Contextual Awareness in a WSN/RFID Fusion Navigation System,” ISRN Robotics, vol. 2014, pp. 1–10, 2014. View at Publisher · View at Google Scholar
  • Guillermo Enriquez, Sunhong Park, and Shuji Hashimoto, “Methodical Approach to Active Node Layout Generation for Robot Navigation,” Journal of Signal Processing, vol. 18, no. 2, pp. 97–109, 2014. View at Publisher · View at Google Scholar
  • Hang Li, and Andrey V. Savkin, “An algorithm for safe navigation of mobile robots by a sensor network in dynamic cluttered industrial environments,” Robotics and Computer-Integrated Manufacturing, vol. 54, pp. 65–82, 2018. View at Publisher · View at Google Scholar