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评估犯罪现场测量方法的一致性。

Assessing agreement among crime scene measurement methods.

机构信息

Visiting Scientist Program, Oak Ridge Institute for Science and Education, Oak Ridge, Tennessee, USA.

Federal Bureau of Investigation Laboratory Division, Quantico, Virginia, USA.

出版信息

J Forensic Sci. 2022 Jul;67(4):1715-1727. doi: 10.1111/1556-4029.15032. Epub 2022 Mar 24.

Abstract

A critical concern with crime scene documentation is the accuracy with which a crime scene can be reconstructed. Here, we discuss the accuracy of eight documentation methods as a function of measurement distance between reference ground targets in an outdoor scene. The relative accuracy of each documentation method was assessed with respect to a widely accepted and well-established standard method for land surveying, Total Station, from which measurements served as "ground truth" or reference data. For the majority of methods, the actual relative difference between measurements when compared to Total Station was small (less than a quarter of an inch). Measurements from FARO LiDAR agreed the most with to those of Total Station, while drone without the use of ground control points (GCPs) agreed the least. GCPs or a reference scale were also found to be important in mitigating increasing imprecision with increasing distance when measuring between two targets ~9-85 ft apart via drone and orthomosaic methods. Additionally, there were no statistical differences in the use of 2D (horizontal) or 3D (slope) measurement configurations for the Total Station. Overall, linear regression of difference plots did not reveal meaningful correlation between increasing distance measured and the error of a method when compared to Total Station. As more measurement methods become available, and the need for training and validating new tools become a necessity, these results point to the importance of establishing a ground truth or known distance range on which crime scene measurement methods can be validated.

摘要

现场记录的一个关键问题是现场重建的准确性。在这里,我们讨论了八种记录方法的准确性,这些方法是作为参考地面目标在户外场景中的测量距离的函数。每种记录方法的相对准确性都根据广泛接受和成熟的土地测量标准方法(全站仪)进行了评估,该方法的测量结果作为“地面真实值”或参考数据。对于大多数方法,与全站仪相比,实际测量值的相对差异较小(小于四分之一英寸)。FARO LiDAR 的测量值与全站仪的测量值最为一致,而没有使用地面控制点(GCP)的无人机的测量值则最不一致。还发现,在使用无人机和正射影像方法测量两个相距约 9-85 英尺的目标时,GCP 或参考比例尺对于减轻随着距离增加而导致的精度降低也很重要。此外,对于全站仪,2D(水平)或 3D(坡度)测量配置的使用没有统计学差异。总体而言,差异图的线性回归并未显示出随着与全站仪的距离增加,测量方法的误差与距离之间存在有意义的相关性。随着越来越多的测量方法可用,并且需要培训和验证新工具,这些结果表明建立地面真实值或已知距离范围对于验证犯罪现场测量方法非常重要。

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