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Capture of Vehicle Surroundings Using a Pair of Panoramic Annular Lens Cameras

机译:使用一对全景环形镜头相机捕获车辆周围环境

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In this paper we propose a new system to detect obstacles round a vehicle for intelligent driver assistance system. The system consists of a pair of panoramic annular lens (PAL) cameras, which are installed on the top of the vehicle. The panoramic annular lens can project the view of the entire 360 degrees around the optical axis onto an annular plane. Two cameras which are fixed properly can capture all view of the surroundings of the vehicle. They are calibrated by using the spherical perspective projection model to unwrapped the conventional perspective image without distortion. A front panoramic image and a back panoramic image of the vehicle form a Vehicle Dynamic Panoramic Map (VDPM). A driver can watch the scene in any direction of the vehicle through the VDPM, which will make the drive safer. Three coordinates systems are established in order to obtain the obstacle position information from the vehicle. We create a virtual binocular vision situation using the video stream from each one panoramic camera. The binocular analysis technique with area-based correlation is used to recognize the obstacle and compute the distance from the vehicle. The experiment result shows the basic feasibility of this system. It is believed that a panoramic annular lens camera will play an important role in the future of intelligent driver assistance systems.
机译:在本文中,我们提出了一种新系统来检测智能驾驶员辅助系统的障碍物。该系统由一对全景环形透镜(PAL)相机组成,其安装在车辆的顶部。全景环形透镜可以将整个360度的视图围绕光轴突出到环形平面上。正确固定的两个相机可以捕获车辆周围环境的所有视图。它们通过使用球形透视投影模型来校准,以未包装的传统透视图像而不会失真。前全景图像和车辆的背部全景图像形成车辆动态全景地图(VDPM)。驾驶员可以通过VDPM在车辆的任何方向上观察场景,这将使驱动器更安全。建立三个坐标系统,以便从车辆中获得障碍物位置信息。我们使用来自每个全景摄像头的视频流创建虚拟双目视觉情况。具有基于区域的相关性的双目分析技术用于识别障碍物并计算与车辆的距离。实验结果显示了该系统的基本可行性。据信全景环形镜头相机将在智能驾驶员辅助系统的未来发挥重要作用。

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