Design of Visual Feature Detection System for Intelligent Driving of Electric Vehicle

Abstract

In order to improve the intelligent driving ability of electric vehicles, the optimization design of the visual feature detection system for electric vehicles is carried out. An intelligent driving visual detection algorithm for electric vehicles is proposed based on edge contour feature extraction and visual information fusion. The distributed sensor technology is used to collect the intelligent driving visual information of electric vehicle, and the principal component analysis and image filtering are carried out according to the collected image information. The edge contour of the filtered driving visual image is detected, the high resolution visual image feature is extracted, and the quantized fusion tracking recognition is carried out according to the extracted feature quantity. The hardware design of the detection system is obtained under the embedded environment. Simulation result shows that the system designed in this paper has good accuracy in detecting the visual features of intelligent driving of electric vehicles. The system is robustness and has good human-computer interaction.