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Application of photogrammetry to measurement of traffic accident scene

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The accuracy of accident reconstruction depends on the integrity and details of measurement of the accident scene. The photographs of accident scene including vehicles have details of accident scene. Two-eyes vision in computer can be used to obtain the information from these photographs. This paper introduces the principle of two-eyes vision in computer, which can be used in measuring accident scene from photographs. Because of maneuverability of investigating accident scenes, a special reference object was used to calibrate the camera parameters. The errors of image matching affect the precision of reconstruction greatly, so image matching was taken based on correlation of two projective points in two photographs of the same space point in the accident scene. The full-scale models of traffic accident scenes had been calibrated and measured using this method, and it proved that the traffic accident scenes can been measured using this method.

Original languageEnglish
Title of host publicationTraffic and Transportation Studies 2002 - Proceedings of the 3rd International Conference on Traffic and Transportation Studies, ICTTS 2002
PublisherASCE - American Society of Civil Engineers
Pages1077-1082
Number of pages6
ISBN (Print)0784406308, 9780784406304
DOIs
StatePublished - 2002
Externally publishedYes
Event3rd International Conference on Traffic and Transportation Studies, ICTTS 2002 - Guilin, China
Duration: 23 Jul 200225 Jul 2002

Publication series

NameProceedings of the Conference on Traffic and Transportation Studies, ICTTS

Conference

Conference3rd International Conference on Traffic and Transportation Studies, ICTTS 2002
Country/TerritoryChina
CityGuilin
Period23/07/0225/07/02

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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