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Application of Photogrammetry to Measurement of Traffic Accident Scene

机译:摄影测量学在交通事故现场测量中的应用

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The accuracy of accident reconstruction depends on the integrity and details of measurement of the accident scene. The photographs of accident scene including vehicles have details of accident scene. Two-eyes vision in computer can be used to obtain the information from these photographs. This paper introduces the principle of two-eyes vision in computer, which can be used in measuring accident scene from photographs. Because of maneuverability of investigating accident scenes, a special reference object was used to calibrate the camera parameters. The errors of image matching affect the precision of reconstruction greatly, so image matching was taken based on correlation of two projective points in two photographs of the same space point in the accident scene. The full-scale models of traffic accident scenes had been calibrated and measured using this method, and it proved that the traffic accident scenes can been measured using this method.
机译:事故重建的准确性取决于事故现场的完整性和测量细节。包括车辆在内的事故现场的照片均包含事故现场的详细信息。计算机中的双眼视觉可用于从这些照片中获取信息。本文介绍了计算机中双眼视觉的原理,可用于从照片中测量事故现场。由于调查事故现场的可操作性,因此使用了一个特殊的参考对象来校准摄像机参数。图像匹配的误差极大地影响了重建的精度,因此基于事故场景中同一空间点的两张照片中两个投影点的相关性进行图像匹配。利用该方法对交通事故现场的全尺寸模型进行了标定和测量,证明了该方法可以对交通事故现场进行测量。

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