Title
Vision-Based Line-Following Control of a Two-Wheel Self-Balancing Robot
Abstract
This paper presents a vision-based two-wheel self-balancing (TWSB) robot to follow a black line using visual feedback. We use MATLAB software to connect to the URL of IP camera and use image processing toolbox to process the image from the IP camera. After image processing, this paper sets 10 coordinates to detect if the black line is straight or the black line is in different kind of situation. This paper considers the black line including straight line, curve line, intersection and inconsecutive line. Thus, a cascade intelligent motion control system is proposed to control the balancing and moment of the vision-based TWSB robot with tracking the position and direction commands from MATLAB software. Finally, it shows that the vision-based TWSB robot can trace the black line on the map very well from the real-time experimental results.
Year
DOI
Venue
2018
10.1109/ICMLC.2018.8526952
2018 International Conference on Machine Learning and Cybernetics (ICMLC)
Keywords
Field
DocType
Two-wheel self-balancing robot,Line follower,Visual tracking,Cascade control,Intelligent control
Computer vision,Line (geometry),Motion control,Pattern recognition,Computer science,Image processing,Robot kinematics,Software,Artificial intelligence,Robot,IP camera,Mobile robot
Conference
Volume
ISSN
ISBN
1
2160-133X
978-1-5386-5215-2
Citations 
PageRank 
References 
0
0.34
7
Authors
4
Name
Order
Citations
PageRank
Chun-Fei Hsu119014.57
Chien-Ting Su200.34
Wei-Fu Kao321.72
Bore-Kuen Lee48711.30