Sensor-Integrated Adaptive Cruise Control in Autonomous Vehicles via Raspberry Pi

Adaptive Cruise Control (ACC) is a modern automotive technology that automatically adjusts a vehicle’s speed to maintain a safe distance from vehicles ahead. This paper presents the design and implementation of an ACC system for autonomous vehicles using a Raspberry Pi as the primary processing unit. The proposed system integrates ultrasonic and LiDAR sensors for distance measurement, a camera module for lane detection, and a motor control interface for speed regulation. A combination of Python-based control algorithms and image processing techniques ensures dynamic speed adjustment in real-time. The system was tested on a prototype vehicle platform, demonstrating stable performance in varying traffic conditions and responsiveness to sudden changes in the lead vehicle’s speed.