Design and Analysis of Intelligent Transport Vehicle Based on DWA Path Planning

This article mainly introduces the specific implementation method and result analysis of the intelligent handling car based on DWA path planning. The intelligent handling car uses Raspberry Pi 5/4B as the core controller, captures images with a camera, and remotely retrieves images through the SSH protocol using MATLAB to achieve path planning and obstacle avoidance based on DWA algorithm. Then, using MATLAB Support Package for Raspberry Pi Hardware, the control results are fed back to the Raspberry Pi, which controls the motor to achieve intelligent control. This article also analyzes the results of path planning and the recognition accuracy of target objects, including the accuracy of reaching the designated point, the speed change during obstacle avoidance, and whether the minimum distance between the path and obstacles meets the requirements and recognition accuracy.