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Implementation of Autonomous Driving Algorithms on a Miniature Robot

Shreyash G. Patil and Kishanprasad G. Gunale
Dr. Vishwanath Karad MIT World Peace University, School of ECE, Pune, India

Abstract—The proposed work mainly attempts to implement numerous image processing algorithms on TurtleBot3 Waffle Pi for autonomous driving using Robot Operating System (ROS). The image processing algorithms used in this work for developing a vision-based system for autonomous driving. Before actual implementation on hardware, the algorithms are first tested in simulation. The time-synchronized data feed is collected from the sensors of the robot. Then the collected data is further processed to perform controlling actions using actuators. The robot's performance is tested and optimized for the same algorithms by varying different parameters in simulation and on a real robot.
 
Index Terms—ROS, Gazebo, image processing, TurtleBot3, robotics

Cite: Shreyash G. Patil and Kishanprasad G. Gunale, "Implementation of Autonomous Driving Algorithms on a Miniature Robot," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 11, No. 2, pp. 138-145, March 2022. Doi: 10.18178/ijeetc.11.2.138-145

Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.

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