Abstract
An outdoor localization system for mobile robot based on infrared vision is presented. To deal with the changes of light conditions, an omni-directional near infrared (NIR) vision system is developed. The extended Kalman filter (EKF) is used in localization, and to improve the accuracy and robustness of the system. Finally, the experiments demonstrate the system performance in an electrical substation.
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Wang, J., Chen, W. (2010). A Novel Localization System Based on Infrared Vision for Outdoor Mobile Robot. In: Li, K., Jia, L., Sun, X., Fei, M., Irwin, G.W. (eds) Life System Modeling and Intelligent Computing. ICSEE LSMS 2010 2010. Lecture Notes in Computer Science(), vol 6330. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15615-1_5
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DOI: https://doi.org/10.1007/978-3-642-15615-1_5
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