车载相机和GPS信息融合的城市道路交通信息检测方法

Urban road traffic information detection method based on vehicle camera and GPS information fusion

利用车载相机进行城市道路交通信息采集时通常会面临诸多难题,如城市道路环境复杂、驾驶视角下的车辆遮挡、无法独立获取自身位置信息等。针对上述问题,提出一种基于车载相机和GPS信息融合的城市道路车辆纵向间距与纵向速度估计方法,进而实现对路侧停靠车辆的识别以及城市道路通行速度、交通流密度以及交通流量的检测。实车实验结果表明本方法能够实现准确可靠、经济有效的移动式城市道路交通信息检测,能够为智能车辆和智能交通系统的相关研究提供数据支撑。

During the process of using on-board camera to collect urban road traffic information,there usually exists many difficulties,such as complex urban road environment,blocking of vehicles from driving perspective,and unable to obtain its own position information independently.In order to solve the above problems,an estimation method of longitudinal distance and longitudinal speed of urban road vehicles based on on-board camera and GPS information fusion is proposed,which could realize the identification of roadside parked vehicles and the detection of urban road speed,traffic flow density and traffic flow.The results of real vehicle experiments show that this method can achieve accurate,reliable,economical and effective mobile urban road traffic information detection,and can provide data support for the related research of intelligent vehicles and intelligent transportation systems.