A Novel Localization System Based on Infrared Vision for Outdoor Mobile Robot

An outdoor localization system for mobile robot based on infrared vision is presented. To deal with the changes of light conditions, an omnidirectional 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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