We propose a novel extension to traffic accident simulation by means of semantic 3D environment information allowing for a broader view by incorporating the entire close-by environment. In this course, the effect of Advanced Driver Assistance Systems (ADAS) can be simulated, as well as the visibility of objects from people’s perspectives. We present an enclosed pipeline generating 3D objects, their extents and relative positions as well as their semantic class from a combination of photogrammetric recordings and LiDAR (Light Detection And Ranging) scans. By adjusting the desired level of detail, these objects are suitable for both direct integration into the 3D scene reconstruction for use in the accident simulation software PC-Crash, as well as for fine tuning parameters in traffic flow simulations and for convincing visualization and presentation of simulation results, be it in courts or to policy makers in urban planning.

Original document

The different versions of the original document can be found in:

https://zenodo.org/record/1487621 under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
http://dx.doi.org/10.5281/zenodo.1487620 under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  • [ ]

DOIS: 10.5281/zenodo.1487620 10.5281/zenodo.1487621

Back to Top

Document information

Published on 01/01/2018

Volume 2018, 2018
DOI: 10.5281/zenodo.1487620
Licence: Other

Document Score


Views 0
Recommendations 0

Share this document

claim authorship

Are you one of the authors of this document?