Reconstruction of Digital Twin for Traffic Accident Investigation Using Drone Photogrammetry

Main Article Content

Wasu Polsai
Chattichai Waisurasingha
Pongrid Klungboonkrong
Chutima Waisurasingha

Abstract

The purpose of this study was to apply UAV imaging surveys to record the damage inflicted to light-vehicles following an accident in the form of a 3D model, and to compare the completeness of the three-dimensional model obtained by visual survey analysis of unmanned aerial vehicles processed by semi-automatic and automated methods based on the experts in field of
photogrammetric surveying. This is because the photogrammetric surveying could be used to fully reconstruct the accident scene in terms of the vehicle details . In addition, the recorded events in the dimension of accident reconstruction could be used to realize the accident details. Therefore, this is an important innovation that could help to ensure the archiving of digital evidence. The study examined comparative integrity through open-source, low-cost, professional, and cloud-processing software. The results reflected how well each software performed.
The positional accuracy obtained by professional software processing was at an acceptable level.

Article Details

How to Cite
[1]
W. Polsai, C. Waisurasingha, P. Klungboonkrong, and C. Waisurasingha, “Reconstruction of Digital Twin for Traffic Accident Investigation Using Drone Photogrammetry”, RMUTI Journal, vol. 15, no. 2, pp. 118–126, Aug. 2022.
Section
Research article

References

Luhmann, T., Robson, S., Kyle, S., and Boehm, J. (2020). Close-Range Photogrammetry and 3D Imaging. De Gruyter STEM, 2019. DOI: 10.1515/9783110607253

Fraser, C. S. (2006). Accident Reconstruction via Digital Close-range Photogrammetry. ASPRS 2006 Annual Conference Reno. Nevada, May 1-5, 2006. Nevada, USA.

Su, S., Liu, W., Li, K., Yang, G., Feng, C. F., Ming, J., Liu, G., Liu, S., and Yin, Z. (2016). Developing an Unmanned Aerial Vehicle-Based Rapid Mapping System for Traffic Accident Investigation. Australian Journal of Forensic Sciences. Vol. 48, Issue 4, pp. 454-468. DOI: 10.1080/00450618.2015.1073787

Almeshal, A. M., Almazrouee, A. I., Alenizi, M. R., and Alhajeri, S. N. (2020). Forecasting the Spread of COVID-19 in Kuwait Using Compartmental and Logistic Regression Models. Applied Sciences. Vol. 10, Issue 10, p. 3402. DOI: 10.3390/app10103402

Thairath. (2021). A Car Crashed Into a Tree in Khon Kaen University, 2 off Nong Namon, deputy Miss Thailand, year 2019, serious. Access (15 April 2021). Available (https://www.thairath.co.th/news/crime/2033315)

Waisurasingha, C. (2020). Photogrammetry. Se-education

Stáňa, I., Tokař, S., Bucsuházy, K., and Bilík, M. (2017). Comparison of Utilization of Conventional and Advanced Methods for Traffic Accidents Scene Documentation in the Czech Republic. Procedia Engineering. Vol. 187, pp. 471-476. DOI: 10.1016/j.proeng.2017.04.402

Galeazzi, F., Di Giuseppantonio Di Franco, P., and Matthews, J. L. (2015). Comparing 2D Pictures with 3D Replicas for the Digital Preservation and Analysis of Tangible Heritage. Museum Management and Curatorship. Vol. 30, Issue 5, pp. 462-483. DOI: 10.1080/09647775.2015.1042515