基于阴影线的智能车辆检测及测距方法研究

针对当前智能车辆检测算法在实际应用中存在误差、测量结果不够准确等问题，使用基于运动车辆中车底阴影线算法的车辆检测机制，并利用车底阴影稳定存在特征解决车辆检测问题，进一步基于机器视觉的双目立体匹配测距方法实现对前方最近车辆距离测量，为智能车辆及驾驶员辅助系统提供信息。笔者采用的车底阴影线方法及双目测距最终实现结果证实，可以获取较为精确的道路前方的车辆及距离信息，有效检测距离为10 ～ 50 m，整体识别率达到85%。

Intelligent Vehicle Binocular Stereoscopic Vehicle Detection and Distance Measurement#br#

The known current intelligent vehicle detection algorithms have problems such as large errors and inaccurate measurement results in practical applications． The algorithm used in this paper is based on the vehicle detection mechanism of the car hull line in the moving vehicle，and uses the feature of the bottom shadow to exist．And the binocular stereo matching distance measurement method based on machine vision is selected to realize the nearest vehicle distance measurement． Provide reliable information for intelligent vehicles and driver assistance．The final result of the system confirms the availability of more accurate vehicle and distance information in front of the road． The effective detection distance is 10 m ～50 m，and the overall recognition rate can reach 85% or more．