Volume : 12, Issue : 4, APR 2026

AUTOMATIC OBSTACLE DETECTION AND ELECTRIC DISC BRAKING SYSTEM FOR 4-WHEELER

DR.R.SASIDHAR*, S.LAVANYA, A.JAGADEESH KUMAR, T. UDAYKUMAR, V.DINESH

Abstract

Road accidents remain a major concern worldwide, often caused by delayed human reaction and inability to detect obstacles in time. This paper presents the design and implementation of an automatic obstacle detection and electric disc braking system for a four-wheeler to enhance vehicle safety. The system integrates ultrasonic sensing technology with a microcontroller-based control unit to detect obstacles in real time and activate braking automatically. The ultrasonic sensor continuously measures the distance between the vehicle and surrounding objects, while the microcontroller processes this data and triggers braking when a predefined safety threshold is reached. The proposed electric braking mechanism ensures faster response, reduced stopping distance, and improved reliability compared to conventional manual braking systems. Experimental results demonstrate effective obstacle detection within a range of 0.5–10 meters and rapid braking response, significantly reducing collision risk. The system provides a cost-effective and efficient solution for improving road safety and supporting intelligent transportation systems.

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IESRJ

International Educational Scientific Research Journal

E-ISSN: 2455-295X

International Indexed Journal | Multi-Disciplinary Refereed Research Journal

ISSN: 2455-295X

Peer-Reviewed Journal - Equivalent to UGC Approved Journal

Peer-Reviewed Journal

Article No : 14

Number of Downloads : 35

References

1. C. C. Chan, “The state of the art of electric, hybrid, and fuel cell vehicles,” Proceedings of the IEEE, vol. 95, no. 4, pp. 704–718, 2007.

2. J. Borenstein and Y. Koren, “Obstacle avoidance with ultrasonic sensors,” IEEE Journal of Robotics and Automation, vol. 4, no. 2, pp. 213–218, 1988.

3. R. Siegwart, I. R. Nourbakhsh, and D. Scaramuzza, Introduction to Autonomous Mobile Robots. Cambridge, MA, USA: MIT Press, 2011.

4. S. Thrun, W. Burgard, and D. Fox, Probabilistic Robotics. Cambridge, MA, USA: MIT Press, 2005.

5. M. Buehler, K. Iagnemma, and S. Singh, The DARPA Urban Challenge: Autonomous Vehicles in City Traffic. Berlin, Germany: Springer, 2009.

6. D. H. Johnson and D. E. Dudgeon, Array Signal Processing: Concepts and Techniques. Upper Saddle River, NJ, USA: Prentice Hall, 1993.

7. J. J. Leonard and H. F. Durrant-Whyte, “Mobile robot localization by tracking geometric beacons,” IEEE Transactions on Robotics and Automation, vol. 7, no. 3, pp. 376–382, 1991.

8. S. M. Savaresi, M. Tanelli, C. Cantoni, and S. M. Savaresi, Active Braking Control Systems Design for Vehicles. London, U.K.: Springer, 2010.

9. B. Siciliano and O. Khatib, Springer Handbook of Robotics. Berlin, Germany: Springer, 2016.

10. A. Eskandarian, Handbook of Intelligent Vehicles. London, U.K.: Springer, 2012.