Affiliation:
1. Chongqing University of Posts and Telecommunications
Abstract
In structured environment, according to the requirement of indoor robot navigation for accuracy and real-time performance, On the basis of a novel positioning method using infrared landmarks, another novel infrared landmark indoor positioning method which uses high power infrared tube as landmarks, infrared camera as receiving sensor ,and combines track deduction is proposed in this paper. An improved Interacting Multiple Models Unscented Kalman Filter (IMM-UKF) data fusion algorithm for the two positioning scheme is used to improve the precision. Experimental results show that the novel infrared landmark indoor positioning method can increase the location speed and precision effectively.
Publisher
Trans Tech Publications, Ltd.
Reference8 articles.
1. Javier Civera, Oscar G. Grasa, Andrew J. Davison, J. M. M. Montiel. 1-Point RANSAC for EKF-Based Structure from Motion. In IEEE Intelligent Robots and Systems, 2009: 3498-3504.
2. Jun Cai, Shuanglong Zhang, Yi Zhang, Design and Implementation of Positioning System Based On Smart Space for Intelligent Wheelchair[C]. Applied Mechanics and Materials, 2012, 8: 220-223.
3. BAI Yun, YU Li, XIE Changsheng, ZHANG Donghua. A Model-independent Fast Localization Algorithm of WiFi Access Point[J]. Journal of Chinese Computer Systems. 2013, 34(2): 220-223.
4. Yu Shuping, Li Wenfeng. A vehicle trajectory deduction algorithm in vehicular ad hoc networking[J]. Computer Applications and Software. 2012, 12:264-266.
5. Li Chenglong, Hu Peng, Luo Yangyu, mobile robot positioning system and method based on Infrared landmark. China,CN102419178A[P]. 2012-04-18.
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献