Line Tracing Technique for Smooth Driving
John Patrick P. Banjao1, Louis Van Hecke2, Wansu Lim3, Myung-Sik Kim4
1John Patrick P. Banjao, Department of Computer Engineering, Mapúa University, Manila, Philippines. Louis Van Hecke, Department of Computer Engineering, Pôle Universitaire Léonard de Vinci, Paris, France.
2Wansu Lim*, Department of IT convergence Engineering, Kumoh National Institute and Technology(KIT), Gumi, South Korea.
3Myung-Sik Kim*, School of Electronic Engineering, Kumoh National Institute and Technology(KIT), Gumi, South Korea
Manuscript received on October 12, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 54-57 | Volume-9 Issue-1, November 2019. | Retrieval Number: A4630119119/2019©BEIESP | DOI: 10.35940/ijitee.A4630.119119
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper, a line tracing algorithm for a robot was developed. The line tracing algorithm uses the robot’s car attached camera to detect the black line. The steering angle of the robot car’s wheels is then adjusted according to the black line detected. The performance of the proposed algorithm was evaluated by using the simple line tracking. We found out that using this technique the robot car is having a smooth drive following the black line. This study involves both hardware and software: raspberry pi as the microcontroller for the hardware and C++ for the software.
Keywords: Line Tracing Algorithm, Image Processing.
Scope of the Article: Algorithm Engineering