Methods for Distance Determination Between Objects on Video Recordings Using Geographic Information Systems
https://doi.org/10.30764/1819-2785-2025-2-54-64
Abstract
The article summarizes the research experience gained by forensic expert institutions of the Russian Ministry of Justice under assessment of the distance determination accuracy using orthophotomaps of GIS “Yandex Maps” and GIS “Google Earth”. On the basis of this assessment the methodological approach is proposed to solve the expert task of determining distances on video records using various geographic information systems (hereinafter GIS), including cases of establishing circumstances of road accidents (hereinafter accidents). As part of this approach, methods for GIS data verification are described.
About the Authors
A. G. BoyarovRussian Federation
Boyarov Alexander Grigorevich – Leading State Forensic Expert, Department for Video and Audio Recordings Forensic Examination
Moscow 101000
O. O. Vlasov
Russian Federation
Vlasov Oleg Olegovich – Head of Department for Video and Audio Recordings Forensic Examination
Moscow 101000
A. A. Godlevskii
Russian Federation
Godlevskii Andrei Anatol’evich – Head of Department for Forensic Linguistic Examination of Video and Audio Recordings
Chelyabinsk 454071
S. B. Shavykina
Russian Federation
Shavykina Svetlana Borisovna – Leading State Forensic Expert, Department for Video and Audio Recordings Forensic Examination
Moscow 101000
References
1. Abdullin R.K., Ponomarchuk A.I. Internet mapping technologies: textbook. Perm, 2020. 132 p. (In Russ.).
2. Petrov S.M., Boyarov A.G., Vlasov O.O., Shavykina S.B., Krivoshchekov S.A. Identifying Video Recordings of Road Accidents, Positions and Movement Parameters of Its Participants. 2nd ed. Moscow: RFCFS, 2022. 95 p. (In Russ.). https://doi.org/10.30764/978-5-91133-246-4-2022-12
3. Yarotskaya E.V., Matveeva A.V., D’yachenko A.A. Geographical information systems: textbook. Moscow: Ai Pi Ar Media, 2021. 146 p. (In Russ.). https://doi.org/10.23682/101351
4. Ragheb A.E., Ragab A.F. Enhancement of Google Earth Positional Accuracy. International Journal of Engineering Research & Technology (IJERT). 2015. Vol. 4. No. 1. P. 627–630.
5. Mohammed N.Z., Ghazi A., Mustafa H.E. Positional Accuracy Testing of Google Earth. International Journal of Multidisciplinary Sciences and Engineering. 2013. Vol. 4. No. 6. P. 6–9.
6. Rider R.R. The Impact of New Technology on Crash Reconstruction: A Thesis for the Degree of Master of Criminal Justice. Tarleton State University, 2017. 63 p.
7. Farah A., Algarni D.A. Positional Accuracy Assessment of Google Earth in Riyadh. Artificial Satellites. 2014. Vol. 49. No. 2. P. 101–106. https://doi.org/10.2478/arsa-2014-0008
8. Potere D. Horizontal Positional Accuracy of Google Earth’s High-Resolution Imagery Archive. Sensors. 2008. No. 8. P. 7973–7981. https://doi.org/10.3390/s8127973
9. Scollar I. Google Earth: Improving Mapping Accuracy. AAARGnews. 2013. No. 47. P. 19–27.
10. Becek K., Khairunnisa I., Darussalam B. On the Positional Accuracy of the Google Earth® Imagery. TS05I – Spatial Information Processing Ipaper. 2011. No. 4947. P. 1–8.
11. Jaafari Sh., Nazarisamani A. Comparison between Land Use/Land Cover Mapping Through Landsat and Google Earth Imagery. American-Eurasian Journal of Agricultural and Environmental Science. 2013. Vol. 13. No. 6. P. 763–768.
12. Wirth J., Bonugli E., Freund M. Assessment of the Accuracy of Google Earth Imagery for Use as a Tool in Accident Reconstruction. SAE Technical Paper 2015-01-1435. 2015. https://doi.org/10.4271/2015-01-1435
13. Krivoschyokov S.A. Measuring Object Sizes and Distances Using Images from Unknown Photo or Video Cameras with the Help of Photogrammetry Software. Theory and Practice of Forensic Science. 2013. No. 3 (31). P. 46–52. (In Russ.).
14. Kozin E.V., Karmanov A.G., Karmanova N.A. Photogrammetry. Saint Petersburg: Universitet ITMO, 2019. 146 p. (In Russ.).
15. Ubukawa T. An Evaluation of the Horizontal Positional Accuracy of Google and Bing Satellite Imagery and Three Roads Data Sets Based on High Resolution Satellite Imagery. Center for International Earth Science Information Network (CIESIN). 2013.
16. Paredes-Hernández C.U., Salinas-Castillo W.E., Guevara-Cortina F, Martínez-Becerra X. Horizontal Positional Accuracy of Google Earth’s Imagery over Rural Areas: a Study Case in Tamaulipas, Mexico. BCG – Boletim de Ciências Geodésicas. 2013. Vol. 19. No. 4. P. 588–601. https://doi.org/10.1590/S1982-21702013000400005
Review
For citations:
Boyarov A.G., Vlasov O.O., Godlevskii A.A., Shavykina S.B. Methods for Distance Determination Between Objects on Video Recordings Using Geographic Information Systems. Theory and Practice of Forensic Science. 2025;20(2):54-64. (In Russ.) https://doi.org/10.30764/1819-2785-2025-2-54-64