Exploiting image-based colorization of point-clouds in vehicle accident reconstruction: methodologies and reliability

More information

Main author

Andrea Del Cesta

Co-Authors

Francesco Del Cesta

Type of media

PDF

Publication type

Lecture

Publication year

2016

Publisher

25. EVU Congress, Bratislava

Citation

-

The Experts called to reconstruct a vehicle accident usually don’t have the chance to survey the scene in the immediacy of the crash. Therefore, the accident analysis must be performed upon the available information, which often consist in a mere set of sparse pictures of the scene, not compliant with the requirements of photogrammetric techniques. Notwithstanding, these pictures could however be translated in measurable quantities. Provided that a laser scanner survey of the scene is available, relatively new computer-vision techniques allow to color the laser scanner point-cloud according to the available pictures. The color information is consequently translated into metrical information on the point-cloud. In the present work, the reliability of this approach has been proved by means of several tests, where the colorization has been carried-out for different camera positions. Furthermore, guidelines for an aware usage of these techniques has been provided.

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