Using CCTV data in the analysis of real vehicle accidents: a laser scanner approach / Verwendung von CCTV-Daten bei der Analyse von realen Fahrzeugunfällen: die Laserscanner-Vorgehensweise
Francesco Del Cesta
Studio Del Cesta
Francesco Del Cesta was born in 1986 in Pisa, Italy. He defended his PhD Thesis in Microelectronic in July 2016 at the Department of Information Engineering of the University of Pisa. His career as a traffic accident reconstructionist started from 2005, as an apprentice in the firm of his father, and today he works as a Judge's expert, Prosecutor's expert, Lawyer's expert or Private technical expert. He is continuously training is skill in accident reconstruction by studying the international literature and by participating at numerous national and international conferences and seminars. He is also working as trainer for different entities in the traffic accident field: Police Force, Lawyers, Universities, Technical Experts. He is an active member of the Italian EVU Country Group.
Target
When available, CCTV system can produce important information for the analysis of real vehicle accidents. The movements of one or more of the involved vehicles, or even the collision itself, could be imaged by security... [ view full abstract ]
When available, CCTV system can produce important information for the analysis of real vehicle accidents. The movements of one or more of the involved vehicles, or even the collision itself, could be imaged by security cameras closed to scene of the accident; what happened on the scene after the accident can be recorded and alterations can be found out. However, the existence of a video it is not sufficient in itself: for the actual reconstruction of the accident, quantitative information must be derived from the cameras, such as the positions of the vehicles and/or their speeds. In the present work a possible approach, based on the combined usage of PC-Crash and the laser scanner survey of the scene, is proposed. Three accident reconstruction cases, with available CCTV data, will be discussed and the results of the video-analysis will be compared with the reconstruction of the accidents using PC-Crash.
Methods and Equipment Used
Three cases where CCTV data where available have been analyzed.In the first, a motorcycle have crashed into the right side of a vehicle coming from the opposite direction and turning to his own left. The pre-impact... [ view full abstract ]
Three cases where CCTV data where available have been analyzed.
In the first, a motorcycle have crashed into the right side of a vehicle coming from the opposite direction and turning to his own left. The pre-impact movements of the motorcycle have been recorded by a security-camera. The video has been used for a raw estimation of the speed of the motorcycle.
In the second, a car crashed in the right side of an other car coming from a secondary street. The whole collision has been recorded by a security camera. The video has been used in order to check the post-impact movement with respect to the PC-Crash simulation and to investigate the pre-impact phase.
In the third case, a pedestrian has been hit by a car while recorded by a camera. The video has been used in order to reconstruct the motion of both the car and the pedestrian.
Authors
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Francesco Del Cesta
(Studio Del Cesta)
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Andrea Del Cesta
(Studio Del Cesta)
Topic Area
Big data
Session
BD » Big Data (15:20 - Thursday, 19th October, Kleine Zaal)
