Revolutionizing Road Safety: Raspberry Pi-Based Driver Assistance System for Indian Roads Using LIDAR and Camera Sensors

A driver assistance system is implemented on Raspberry Pi which processes real-time data from the LIDAR for distance measurement and camera data for object detection and lane detection, enabling smart surround-view and collision avoidance to enhance road safety. The object detection system is based on MobileNetSSD v2 and achieves a mean average precision (mAP) of 22.1%. The distance calculation is performed using the TF-LUNA Micro-LIDAR sensor, which operates within a range of 8 m and has an error margin of ±6 cm for distances less than 3 m, and an error margin of ±2% for distances between 3 and 8 m. Thus, the system is designed to handle the unique challenges of Indian roads, to prevent accidents, and ultimately save lives.