Design of Target Tracking Intelligent Vehicle Based on Machine Vision

The Raspberry Pi chip is utilized for applications such as industrial inspection and intelligent hand carts in supermarkets, combined with machine vision and sensors to achieve an intelligent driving control system. The system operates on Raspberry Pi 4B and employs a normalized cross-correlation matching algorithm to locate the target. Ultrasonic testing is used to measure the distance between the target and the vehicle during operation, with speed being controlled based on the distance. An improved position-based proportional-integral-derivative (PID) is used to adjust the speed. The system has undergone repeated testing and has demonstrated the ability to automatically track targets in complex environments with low lighting and occlusion. It demonstrates stability and holds practical significance in engineering applications.