@Article{iasc.2023.027614,
AUTHOR = {Rihem Farkh, Khaled Aljaloud},
TITLE = {Vision Navigation Based PID Control for Line Tracking Robot},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {35},
YEAR = {2023},
NUMBER = {1},
PAGES = {901--911},
URL = {http://www.techscience.com/iasc/v35n1/48167},
ISSN = {2326-005X},
ABSTRACT = {In a controlled indoor environment, line tracking has become the most practical and reliable navigation strategy for autonomous mobile robots. A line tracking robot is a self-mobile machine that can recognize and track a painted line on the floor. In general, the path is set and can be visible, such as a black line on a white surface with high contrasting colors. The robot’s path is marked by a distinct line or track, which the robot follows to move. Several scientific contributions from the disciplines of vision and control have been made to mobile robot vision-based navigation. Localization, automated map generation, autonomous navigation and path tracking is all becoming more frequent in vision applications. A visual navigation line tracking robot should detect the line with a camera using an image processing technique. The paper focuses on combining computer vision techniques with a proportional-integral-derivative (PID) controller for automatic steering and speed control. A prototype line tracking robot is used to evaluate the proposed control strategy.},
DOI = {10.32604/iasc.2023.027614}
}