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N. Sarath Sai,
Uday Sreenu,
M. Bala Manikanta,
Mrs. K. Swathi,
- Student, Department of Electronics and Communication Engineering, Bonam Venkata Chalamayya Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India
- Student, Department of Electronics and Communication Engineering, Bonam Venkata Chalamayya Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India
- Student, Department of Electronics and Communication Engineering, Bonam Venkata Chalamayya Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India
- Assistant Professor, Department of Electronics and Communication Engineering, Bonam Venkata Chalamayya Engineering College (Autonomous), Odalarevu, Andhra Pradesh, India
Abstract
The development of autonomous and intelligent transportation systems has gained significant attention in recent years. This paper presents the design and implementation of an IoT-based smart vehicle capable of autonomous navigation and obstacle avoidance using the ESP32 microcontroller. The system integrates an ultrasonic sensor for real-time obstacle detection, a GPS module for location tracking and navigation, and IoT connectivity using the Blynk platform for remote monitoring and control. The vehicle operates in both manual and autonomous modes. In manual mode, users can control movement through a mobile application, while in GPS mode the vehicle navigates toward a predefined destination using real-time coordinate calculations. The proposed system was tested under different operating conditions to evaluate navigation accuracy, obstacle detection reliability, communication delay, and system stability. Experimental results show that the vehicle achieves obstacle detection accuracy within ±1 cm and GPS navigation accuracy within 2–3 meters. Additionally, the system continues to operate steadily over long periods of time, demonstrating its actual deployment applicability. A scalable, economical, and successful solution for smart autonomous vehicle applications is demonstrated by the integration of sensing, navigation, and IoT technologies on a single platform. By offering a low-cost prototype that may be further developed with cutting-edge capabilities like computer vision, machine learning-based decision-making, and multi-sensor fusion for increased autonomy and safety, our study adds to the expanding field of intelligent transportation. The integration of sensing, navigation, and IoT technologies demonstrates a cost-effective solution for smart autonomous vehicle applications.
Keywords: IOT, ESP32, GPS Navigation, Obstacle Avoidance, Smart Vehicle, Ultrasonic Sensor
N. Sarath Sai, Uday Sreenu, M. Bala Manikanta, Mrs. K. Swathi. Design and Implementation of IoT-Based Smart Vehicle with Obstacle Avoidance and GPS Navigation Using ESP32. Recent Trends in Electronics Communication Systems. 2026; 13(01):-.
N. Sarath Sai, Uday Sreenu, M. Bala Manikanta, Mrs. K. Swathi. Design and Implementation of IoT-Based Smart Vehicle with Obstacle Avoidance and GPS Navigation Using ESP32. Recent Trends in Electronics Communication Systems. 2026; 13(01):-. Available from: https://journals.stmjournals.com/rtecs/article=2026/view=240071
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Recent Trends in Electronics Communication Systems
| Volume | 13 |
| 01 | |
| Received | 02/04/2026 |
| Accepted | 03/04/2026 |
| Published | 14/04/2026 |
| Publication Time | 12 Days |
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