Advanced Track Detection And Obstacle Avoidance System For Autonomous Vehicles

Authors

  • Basava Dhanne Assistant professor; Department of Electronics and Communication Engineering, Lords Institute of Engineering and Technology, Hyderabad, Telangana, India. Author
  • Mohammed Shareefuddin Students; Department of Electronics and Communication Engineering, Lords Institute of Engineering and Technology, Hyderabad, Telangana, India. Author
  • Sangireddy Sriram Reddy Students; Department of Electronics and Communication Engineering, Lords Institute of Engineering and Technology, Hyderabad, Telangana, India. Author
  • Mohammed Subhan Siddiqui Students; Department of Electronics and Communication Engineering, Lords Institute of Engineering and Technology, Hyderabad, Telangana, India. Author
  • Syed Zuhayr Ahmed Students; Department of Electronics and Communication Engineering, Lords Institute of Engineering and Technology, Hyderabad, Telangana, India. Author

DOI:

https://doi.org/10.63665/IJAICE.0201.05

Keywords:

Autonomous Robotic Vehicle, Obstacle Avoidance, Track Sensing, L298 Motor Driver, HC-SR04, Ultrasonic Sensor, Microcontroller, DC Motors, Autonomous Navigation, Embedded Systems, C++, Robotics

Abstract

This project presents the design and development of an autonomous robotic vehicle equipped with track sensing and obstacle avoidance capabilities using an L298 motor driver and a microcontroller. The vehicle is designed to move autonomously in different environments while detecting obstacles and making avoidance decisions. It is fitted with an HC-SR04 ultrasonic sensor, which continuously measures the distance for the presence of an obstacle and changes the path of the vehicle accordingly. The motor driver L298 controls the two DC motors, which aid in controlling the movement of the robot accurately. The microcontroller then processes this information from the ultrasonic sensor and instructs the motor driver to make adjustments to achieve a smooth navigation and obstacle avoidance in real-time. Designed for handling various types of terrains and obstacles, the robot showcases very advanced techniques of collision avoidance. The control software is written in the tonny and C++ programming, integrating sensor information with motor commands. This project is for improving efficiency and autonomy in terms of robotic vehicles, with absolutely no manual intervention to the least possible while improving operational reliability.

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Published

2026-03-20

Issue

Vol. 2 No. 1 (2026): January-March

Section

Articles

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

Basava Dhanne, Mohammed Shareefuddin, Sangireddy Sriram Reddy, Mohammed Subhan Siddiqui, & Syed Zuhayr Ahmed. (2026). Advanced Track Detection And Obstacle Avoidance System For Autonomous Vehicles. International Journal of Artificial Intelligence and Computer Electronics, 2(1), 41-48. https://doi.org/10.63665/IJAICE.0201.05