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