Design and Initiation of Lidar Based Visibility Distance Estimation Under Adverse Weather for Collision Avoidance in Fog

Abstract

The vehicle detection in fog using LIDAR offers a practical solution for staying safe from the road accidents in the foggy condition. The purpose of our endeavor is to develop a vehicle detection system using LIDAR technology to identify and track vehicles within foggy conditions. The system is implemented on Raspberry pi for real-time testing. A camera captures the images and the computer vision is applied to identify whether fog and vehicle is present. If fog and vehicle is presented it send signal for LIDAR to turn on in which sensor fixed on a vehicle to look through the surrounding environment and generate a 3D point cloud depiction of the environment and which give the distance between vehicles. ultrasonic sensor which signals driver to concentrate when vehicle is close to the sides of road divider to avoid hitting them. It gives signal to DC motor which control the movement of the vehicle and motor driver which control the DC motor from giving the reverse current to the PCB of the Raspberry Pi. An electrical source supplies the necessary power for the working of various components. The software tool used is OpenCV with python programming. Finally, when LIDAR and laser module senses the vehicle and detects the separation between them it displays the result on the OLED display screen and indicate through the buzzer.