基于视觉传感器的道路前方车辆模型研究  

Research on model of on-road vehicle ahead based on vision sensor

作　　者：陈勇[1] 陈瑶[2] 

机构地区：[1]西北工业大学软件与微电子学院,陕西西安710072 [2]北京工业大学计算机学院,北京100124

出　　处：《传感器与微系统》2014年第9期42-44,51,共4页Transducer and Microsystem Technologies

摘　　要：车辆几何模型是基于视觉传感器的车辆检测系统的重要部分。为了提高前方车辆检测的鲁棒性,利用车尾轮廓的几何特征构建了世界坐标系的车尾模型,通过坐标系变换给出了视觉传感器坐标系的车尾模型,进而导出图像车尾模型,并给出了车尾模型参数的表达式及其与现实世界中车尾几何参数的对应关系,明确建立了图像中车辆位置和大小的关系。实验表明:将该模型应用于车辆检测可以抑制图像中不符合车辆透视关系的错误识别,能有效提高车辆检测的鲁棒性。Vehicle geometric model is an important component of on-road vehicle detection system based on vision sensor. In order to improve robustness of on-road vehicle detection, the vehicle rear model in the world coordinate system is built using contour geometric feature of vehicle rear ahead;by coordinates transform, vehicle rear model in vision sensor coordinate system is built. And then the vehicle rear model in image is derived, where its parameter expressions and the correspondence relations between the model parameters in image and the rear geometric parameters of the vehicle ahead in the real world are given. This vehicle model formulates the relationships between vehicle rear image size and vehicle position in image. Utilizing it in the vehicle detection can suppress that the region no matching the on-road vehicle perspective is misrecognized as vehicle. Experiment shows the vehicle model can effectively improve robustness of vehicle detection.

关 键 词：车辆模型 车辆检测 智能车辆 机器视觉 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]