Vehicle Anti-Collision System using LIDAR

The Vehicle Anti-Collision System operates by deploying a LIDAR sensor connected to a Raspberry Pi 5 single-board computer via connecting cables. The LIDAR sensor emits pulsed laser beams into the surrounding environment and measures the exact time it takes for the light reflections to bounce back from nearby objects, applying time-of-flight principles to calculate precise distance data. The Raspberry Pi runs a Python environment utilizing the sensor's official SDK and associated software libraries to continuously poll, capture, and interpret this continuous stream of spatial measurement data. By processing the incoming point clouds or distance arrays in real-time, the single-board computer can evaluate proximity metrics and determine if an obstacle enters a predefined safety threshold relative to the vehicle's trajectory. Mounting hardware physically secures the sensor to the vehicle frame or test rig to ensure stable optical alignment during movement. While this project establishes the foundational sensing and data-acquisition phase rather than full mechanical braking actuation, it demonstrates how optical ranging data is digitally acquired and evaluated by an embedded Linux computer to form the baseline perception layer for modern advanced driver assistance systems.