ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume X-3/W2-2022
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3/W2-2022, 23–28, 2022
https://doi.org/10.5194/isprs-annals-X-3-W2-2022-23-2022
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3/W2-2022, 23–28, 2022
https://doi.org/10.5194/isprs-annals-X-3-W2-2022-23-2022
 
27 Oct 2022
27 Oct 2022

ON THE ESTIMATION OF VEHICLE TRAJECTORIES WITH A MINI-UAS

F. Mugnai1, A. Masiero1, and B. Ciuffo2 F. Mugnai et al.
  • 1Dept. of Civil and Environmental Engineering, University of Florence, via di Santa Marta 3, Florence 50139, Italy
  • 2Directorate for Energy, Transport and Climate Change, European Commission, Joint Research Center, via E. Fermi 2749, Ispra 21027, Italy

Keywords: Car tracking, Traffic monitoring, Mini-UAV, Photogrammetry, Vision, Structure from Motion

Abstract. The development of effective solutions for automated vehicles ensuring high levels of safety in any scenario have to be tested in many real world conditions. Large datasets describing real user behaviors in many conditions should be collected to this aim. To this purpose, a quite attractive option is that of using Unmanned Aerial System (UAS) imagery, which can be effectively used to extract real world driver trajectories, and to extract information of interest concerning both their interactions and the context. This work aims at providing an assessment of the accuracy of the geometric information that can be extracted on users’ trajectories and to present a strategy for the estimation of the 3D shape of the involved vehicles. The obtained results show a quite remarkable performance in terms of ability of determining a proper description of the characteristics of the vehicle trajectories, i.e. speed and track.