Intelligent Robot Motion Trajectory Planning and Chaotic Prediction Based on Machine Vision

Abstract

In this paper, based on machine vision, the trajectory planning and chaos prediction of intelligent robots are studied. On the basis of the camera imaging model, the knowledge of digital image processing is used for road image preprocessing. Aiming at the phenomenon of weak edge missed detection in the edge detection process, an edge point detection algorithm based on the gradient amplitude and edge direction is proposed. On this basis of chaotic prediction and trajectory planning of the lane line. Research on robot lane changing decision model based on data mining. In view of the complex lane-changing scenes, many influencing factors, and increased requirements for the accuracy of the lane-changing model, the behavior characteristics of the robot's lane-changing behavior are analyzed.