Wei Chen, National University of Defense Technology, China
Xuening Wang, National University of Defense Technology, China
Tao Wu, National University of Defense Technology, China
Xin Xu, National University of Defense Technology, China
Data fusion is an effective tool to improve the localization precision of a mobile robot. This paper presents a new algorithm to improve the precision of robot localization by fusing data from three kinds of sensors: encoders, a gyroscope and a camera. In the data fusion process, the camera is used as a visual protractor, which is a simple and robust way to process vision information but plays an important role in reducing the errors of localization in high slip-rate cases. An experiment of mobile robot localization is designed to test the efficiency of the algorithm. In this experiment, the localization precision of robots can be improved almost 400% when visual protractor is introduced.
Citation:
Wei Chen, Xuening Wang, Tao Wu, Xin Xu, "Visual Protractor Based Localization Algorithm for Mobile Robot," isda, vol. 3, pp.67-71, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 3, 2006