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ATOMIC SCENES FOR SCALABLE TRAFFIC SCENE RECOGNITION IN MONOCULAR VIDEOS

机译:分子视频中可缩放交通场景识别的原子场景

摘要

Systems and methods are disclosed to provide an Advanced Warning System (AWS) for a driver of a vehicle, by capturing traffic scene types from a single camera video; generating real-time monocular SFM and 2D object detection from the single camera video; detecting a ground plane from the real-time monocular SFM and the 2D object detection; performing dense 3D estimation from the real-time monocular SFM and the 2D object detection; generating a joint 3D object localization from the ground plane and dense 3D estimation; and communicating a situation that requires caution to the driver.
机译:公开了通过从单个摄像机视频捕获交通场景类型来为车辆驾驶员提供高级预警系统(AWS)的系统和方法;从单个摄像机视频生成实时单眼SFM和2D对象检测;从实时单眼SFM和2D物体检测中检测地平面;从实时单眼SFM和2D对象检测执行密集的3D估计;根据地平面和密集的3D估计生成联合3D对象定位;并告知需要谨慎的情况。

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