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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM60965

TRACK SENSING OBSTACLE AVOIDANCE TECHNOLOGY FOR AUTONOMOUS VEHICLE

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM60965

Volume:

10 |

4 |

April 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Y

Y.Jeevan

H

Hyderabad

P

P.Sandhya

Sy

S.Vedanth yadav

M

M.Imthiyaz

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Abstract

The developed and tested autonomous robotic vehicle with a track sensing and obstacle avoidance system, using an motor driver and an controller. The vehicle is designed to move autonomously in different environments while detecting obstacles and making avoidance decisions. It is fitted with an HC-S 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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Cite This Article

Y.Jeevan, Hyderabad, P.Sandhya, S.Vedanth yadav, M.Imthiyaz, "TRACK SENSING OBSTACLE AVOIDANCE TECHNOLOGY FOR AUTONOMOUS VEHICLE," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, April 2026.

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Publication Date

4/21/2026

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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