Fuzzy Logic Collision Avoidance for Autonomous RC Car Follower Utilizing Monocular Camera as Distance Approximator

Authors

  • Nurul Izzati Mohd. Saleh Universiti Sains Malaysia
  • Wan Mohd Yusof Rahiman Wan Abdul Aziz Universiti Sains Malaysia

Keywords:

fuzzy logic, vision system, autonomous rc car

Abstract

This paper present the collision avoidance method of a car follower by using fuzzy logic. The distance between the Lead Vehicle (LV) and Follower Vehicle (FV) is approximated using machine vision. Firstly, unit test is performed to check the reliability of the vision system approximation. Once calibrated, the system is validated by integrating the finalized algorithm to the developed prototype. The experiment comprised of testing the capability of the prototype to avoid collision with the lead vehicle when the lead vehicle stops abruptly in two conditions; straight path and curved path. The results shows that the prototype was able to avoid collision in most cases and the of set classifier improves mean percentage error of distance detection and prevented false trigger of the braking system.

Author Biographies

Nurul Izzati Mohd. Saleh, Universiti Sains Malaysia

School of Electric and Electronic Engineering , Postgraduate Student

Wan Mohd Yusof Rahiman Wan Abdul Aziz, Universiti Sains Malaysia

School of Electric and Electronic Engineering , Senior Lecturer

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Published

2018-10-26

How to Cite

Mohd. Saleh, N. I., & Wan Abdul Aziz, W. M. Y. R. (2018). Fuzzy Logic Collision Avoidance for Autonomous RC Car Follower Utilizing Monocular Camera as Distance Approximator. International Journal of Electrical Engineering and Applied Sciences (IJEEAS), 1(2), 53–60. Retrieved from https://ijeeas.utem.edu.my/ijeeas/article/view/4549

Issue

Section

Mechatronics and Intelligent Robotics