Citation: | HAN Bao-ling, ZHANG Tian, LUO Qing-sheng, ZHU Ying, SONG Ming-hui. Obstacle avoidance technology of bionic quadruped robot based on multi-sensor information fusion[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2016, 25(4): 448-454.doi:10.15918/j.jbit1004-0579.201625.0402 |
[1] |
Wang Yaonan, Li Shutao. Multisensor information fusion and its application: a survey[J]. Control and Decision, 2001,16(5):518-522. (in Chinese)
|
[2] |
Bao Bizhen,Yang Ping,Cao Huwen. A method for modeling and simulation of differential drive mobile robot localization based on EKF multi-sensor fusion[J]. Advanced Materials Research,2011,383-390:2339-2345.
|
[3] |
Zhou Xia, He Jianzhong, Wang Baolei. Multi-senor information fusion of mobile robot fast follow servo[J]. Computer Engineering and Design, 2013,34(6):2247-2251. (in Chinese)
|
[4] |
Jiang Zhibing. Application of information fusion based on fuzzy neural networks in the mobile robot navigation[J]. Machine Tool & Hydraulics, 2009,37(7):154-156. (in Chinese)
|
[5] |
Achour N, Dechemi A. Multisensor data fusion based on fuzzy logic[C]//International Conference on Automation, Robotics and Control System, Orlando, FL, USA, 2010:121-127.
|
[6] |
Ding Chengjun, Zhang Minglu, Duan Ping. Application of fuzzy neural networks in information fusion for mobile robot[J]. Control Theory & Applications, 2004,21(1):59-62. (in Chinese)
|
[7] |
Steven M. Fundamentals of statistical signal processing[M].Beijing: Publishing House of Electronics Industry, 2003:14-20. (in Chinese)
|
[8] |
Wang Jun, Sun Jianbo, Xi Yugeng. Summary of multi-sensor fusion[J]. Journal of Data Acquisition & Processing, 2004,19(1):72-77. (in Chinese)
|
[9] |
Yu Hua, Wu Wenquan, Liu Zhong. Application of D-S evidence theory in mobile robotic sensor fusion[J]. Computer & Digital Engineering, 2009,37(11):125-129. (in Chinese)
|
[10] |
Xu Fen, Xian Jinbao, Li Zhengxi. Obstacle of avoidance of mobile robot based on data fusion technology of production rule multi-sensor[J]. Journal of Electronic Measurement and Instrument, 2009,23(10):73-79. (in Chinese)
|
[11] |
Yao Huiyuan. Research on target tracking and prediction algorithm of TWS radar[D]. Harbin: Harbin Institute of Technology, 2011. (in Chinese)
|