前方车辆图像识别与纵向安全域控制方法研究

提出一种基于单目视觉的前方目标车辆图像识别与纵向安全域控制方法。利用目标车辆视频图像的小波分形特征进行图像识别,并采用粒子滤波对检测结果进行实时动态跟踪,在此基础上,结合单目机器视觉感知技术测量纵向车间距,并建立纵向安全域控制模型,最后进行了仿真分析。实验结果表明,该方法有效缓和了目标车辆图像检测准确性与实时性之间的矛盾,在保证行车安全的同时,兼顾了道路通行能力。

Research on Front Vehicle Detection and Longitudinal Safety Distance Warning Method

Put forward a kind of the front target vehicle image recognition method based on monocular vision and longitudinal safety distance control method. Utilizing target vehicle video image wavelet fractal characteristics to finish image recognition, using particle filter for real-time dynamic tracking test results, on this basis, in combination with monocular machine vision perception technology measurement of longitudinal distance, and established longitudinal safety distance control model, finally carried on the simulation analysis. Experimental results show that this method effectively ease the contradiction between detection accuracy and real-time performance for target vehicle image detection, not only guaranteeing the driving safety, but also combining the traffic capacity.