DocumentCode :
669308
Title :
Efficient driving of tracking robot using kalman filters
Author :
Hu Chen ; Hyun-seop Lim ; Seung-ik Hwang ; Jang-Myung Lee
Author_Institution :
Dept. of Electr. Eng., Pusan Nat. Univ., Busan, South Korea
fYear :
2013
fDate :
20-23 Oct. 2013
Firstpage :
119
Lastpage :
123
Abstract :
Path planning of mobile robot has a purpose to design an optimal path from initial position to target point. Driving distance is considered when choose the optimal path. In this paper, we proposed efficient driving trajectory when mobile robot follows moving object in real time. First, position and distance of moving object can be acquired using one web camera and rotation angular velocity, linear velocity is estimated using Kalman filter to predict trajectory of moving object. Finally mobile robot follows moving object using proposed tracking control method by estimating trajectory of moving object.
Keywords :
Kalman filters; angular velocity; cameras; image motion analysis; mobile robots; object tracking; path planning; robot vision; trajectory control; Kalman filter; driving distance; driving trajectory; linear velocity; mobile robot; moving object distance estimation; moving object position estimation; optimal path design; path planning; rotation angular velocity; target point; tracking control method; trajectory estimation; trajectory prediction; web camera; Data models; Kalman filters; Robots; Vectors; Xenon; Kalman filter; Mobile robot trajectory; Tracking robot;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems (ICCAS), 2013 13th International Conference on
Conference_Location :
Gwangju
ISSN :
2093-7121
Print_ISBN :
978-89-93215-05-2
Type :
conf
DOI :
10.1109/ICCAS.2013.6703874
Filename :
6703874
Link To Document :
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