Study on vehicle safety image system optimization

Abstract

The future of development trend for the automobile industry, mainly import Advanced Driver Assistance System (ADAS) technology to replace the human decision and guidance. Moreover, the integration of automotive function can achieve automation system and intelligent vehicle. In this paper, we introduce the assistance system function using image processing to provide the real-time monitoring system for parking. The relevant parameters are detected, decided, and processed for producing the correspondence action through the assistance system. We designed a complete set of traffic video systems by using a single or multiple CAMERAs for getting analog images, image recognition, and estimation of vehicle trajectory techniques. In the experimental results, the OTSU method is implanted into the ring image system, and according to different weather and environmental conditions. The OTSU method is effectively transformed into dynamic environment brightness value analysis and modulation, especially for the ups and downs of the environment without changing the brightness. The system can provide multi-screen image processing, so that the screen shows a more realistic picture, and enhance the ability to determine the image and shorten the driving decision time. These features will improve the safety of driving.