Published Paper Details:

Modern transportation systems rely on maintaining safe distances and detecting vehicles to help prevent accidents like rear-end collisions. This research showcases a specialized system that detects objects in real time and measures their distance, designed to work in challenging environments like foggy conditions. The system integrates an ultrasonic sensor for close-range obstacle alerts and a LiDAR module for accurate distance readings, supported by a real-time imaging component for enhanced visibility and awareness. Featuring an ultrasonic sensor that identifies objects within 25 cm, triggering an immediate alert, and a LiDAR sensor that measures distances up to 2 meters and displays the results on a 16x2 LCD, this system provides comprehensive obstacle detection. The imaging module, powered by an ESP32-CAM and processed by a Raspberry Pi, provides real-time video displayed on a 7- inch screen Experimental results validate the system's capability to detect obstacles and estimate distances, contributing to safer driving conditions. Future work will aim to enhance detection algorithms and adapt the system to broader environmental challenges.