Path Planning for Unmanned Delivery Vehicles Based on Machine Vision

Abstract

With the continuous development of e-commerce, the demand for express delivery services is constantly increasing. The emergence of unmanned express vehicles has perfectly solved the problem of end logistics. This article takes the living area of Hangzhou University of Electronic Science and Technology as an example. Based on the existing unmanned vehicle parking nodes, the greedy algorithm is first used to solve the optimal original path between the starting point and each node of the unmanned vehicle delivery route. Then, combined with machine vision theory, the real-time road conditions are measured through Hough transform and object detection, and the path planning is re carried out. Finally, based on Flexsim, an unmanned express vehicle delivery model for the living area of Hangzhou University of Electronic Science and Technology is established, Compare the efficiency of express delivery before and after machine vision path optimization to determine the degree of optimization in path planning.