Research on Algorithm Optimization of Intelligent Car Based on Image Processing

The technology of autonomous driving is different from traditional driving methods, which improves traffic safety and convenience. However, in complex road traffic environments, achieving precise perception of the environment by intelligent vehicles still faces challenges such as inaccurate image processing with existing autonomous driving technologies. This study uses CMOS cameras as the main tool for image acquisition and proposes further improvements and optimizations to address the existing problems with image processing algorithms. Through experiments, it has been shown that the improved multi-threshold segmentation algorithm outperforms the single-threshold segmentation algorithm in high-exposure environments. The optimized algorithm developed in this study can effectively reduce the impact of exposure on image processing and improve the stability of image processing for autonomous driving vehicles. It has important practical significance.