JOURNAL ARTICLE

An evaluation of measurement uncertainty of trajectory angles using a 3D laser scanner.

  • Published In: Journal of Forensic Sciences, 2023, v. 68, n. 3. P. 828 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Greenwood, Stephen M.; Paduch, Courtney D.; Allen, Trevor T. 3 of 3

Abstract

Measuring trajectory angles of bullet defects at a crime scene is an important part of crime scene investigation as these angles can be used for shooting incident reconstructions. The Washington State Patrol Crime Scene Response Team (WSP CSRT) had a desire to report and use measured trajectory angles. To report quantitative measurements, a statement of uncertainty for the measurement must also be reported due to an accreditation requirement through the ANSI National Accreditation Board (ANAB), through which the WSP CSRT is accredited. This evaluation examined the measurement uncertainty of the 3D laser scanning method that the WSP CSRT utilizes for measuring the vertical and azimuth angles from trajectory rods fitted to bullet defects. Three studies were performed which examined the variation of vertical and azimuth angle measurements from trajectory rods on flat surfaces, the variation of azimuth angle measurements from a trajectory rod on a curved surface, and a traceability study with known vertical and azimuth angle measurements. Seven common substrates were selected as target materials and were shot with 9 mm Luger and 0.45 Auto caliber bullets. A vehicle with one bullet defect was utilized for the curved surface study. The WSP's current fleet of Trimble X7 3D laser scanners, the WSP Criminal Investigation Division (CID) Detectives who operate these scanners, and the Forensic Scientists responsible for trajectory rod placement and angle measurements were utilized. An overall measurement uncertainty of +/− 2.6 degrees at an approximate 95% confidence interval was determined for all trajectory angles measured from trajectory rods. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Forensic Sciences. 2023/05, Vol. 68, Issue 3, p828
  • Document Type:Article
  • Subject Area:Applied Sciences
  • Publication Date:2023
  • ISSN:0022-1198
  • DOI:10.1111/1556-4029.15230
  • Accession Number:163411295
  • Copyright Statement:Copyright of Journal of Forensic Sciences is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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