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3D accident reconstruction using low-cost imaging technique

机译:使用低成本成像技术的3D事故重建

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摘要

This research is about the implementation of close range photogrammetry (CRP) technique to investigate the traffic accident scene. CRP technique representing and measuring the 3D objects using data stored in 2D photographs. It is non-contact measurement requiring multiple pictures capture to measure objects of interest. Currently, a police officer uses a conventional technique to collect data on traffic accident scene using tape measurement in order to reconstruct the accident scene. The development of camera technology increases the efficiency, stability of consumer grade digital cameras for photogram-metric applications. This development can help police officer to apply a CRP technique for data collection on traffic accident scene. CRP technique offers fast data acquisition, and only need one officer during data capture. This research is to investigate traffic accident scene using the imaging technique. The methodology of this research used a measuring tape and total station for data acquisition on traffic accident scene. This research also evaluates the accuracy of data based on mathematical model standard deviation and root mean square error (RMSE). Based on this research, the implementation of CRP in accident reconstruction is very effective because can achieve a cm-level accuracy in range 40 m traffic accident scene.
机译:这项研究是关于实施近距离摄影测量(CRP)技术来调查交通事故现场的。 CRP技术使用存储在2D照片中的数据表示和测量3D对象。它是非接触式测量,需要捕获多张图片以测量感兴趣的对象。当前,警官使用常规技术使用卷尺测量来收集交通事故现场的数据,以重建事故现场。相机技术的发展提高了用于摄影测量应用的消费级数码相机的效率和稳定性。此开发可以帮助警务人员将CRP技术应用于交通事故现场的数据收集。 CRP技术提供了快速的数据获取,并且在数据捕获期间仅需要一名人员。本研究旨在利用成像技术调查交通事故现场。本研究的方法是使用卷尺和全站仪在交通事故现场进行数据采集。这项研究还基于数学模型标准偏差和均方根误差(RMSE)来评估数据的准确性。根据这项研究,在事故重建中实施CRP非常有效,因为它可以在40 m的交通事故现场达到厘米级的精度。

著录项

  • 来源
    《Advances in Engineering Software》 |2016年第10期|231-237|共7页
  • 作者单位

    Centre of Studies for Surveying Science and Geomatics, Faculty of Architecture, Planning and Surveying, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia;

    Centre of Studies for Surveying Science and Geomatics, Faculty of Architecture, Planning and Surveying, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia,Applied Remote Sensing and Geospatial Research Group, Faculty of Architecture, Planning and Surveying, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Traffic; 3D; Rebuilding; Low cost; Camera; Accuracy;

    机译:交通;3D;重建;低成本;相机;准确性;

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