Study on image processing-based visual perception control of new energy vehicle motor system

Abstract

This paper presents a new energy vehicle driving control system based on image processing technology. Through processing and analysis of road images, the new energy vehicle driving control system is able to recognise road elements, plan a route, and calculate its direction and speed parameters. In order to improve the system’s applicability in various environments, it first divides the road image into two categories: road surface and other objects. Then, it uses a manual iteration method to determine the optimal threshold and suggests an adaptive threshold improvement method. Second, the system carries out feature extraction of road elements, including sample types like ramps, straight roads, curves, intersections, and obstacles. Through secondary feature extraction and sample type characterization, the system achieves the recognition and classification of various road elements. Ultimately, the system executed image capture, preprocessing, and boundary extraction. It then achieved vehicle navigation by using path planning and road centerline fitting. The technology determined the corner parameter and offered precise navigational directions for vehicles during the vehicle direction and speed parameter test. The driving control system for new energy cars is highly applicable and practical, offering efficient technical assistance for the safe operation of these vehicles in intricate road conditions.