ON THE ESTIMATION OF VEHICLE TRAJECTORIES WITH A MINI-UAS

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 i...

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Main Authors: F. Mugnai, A. Masiero, B. Ciuffo
Format: Article
Language:English
Published: Copernicus Publications 2022-10-01
Series:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/X-3-W2-2022/23/2022/isprs-annals-X-3-W2-2022-23-2022.pdf
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author F. Mugnai
A. Masiero
B. Ciuffo
author_facet F. Mugnai
A. Masiero
B. Ciuffo
author_sort F. Mugnai
collection DOAJ
description 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.
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spelling doaj.art-c673aab8ac2e49449e160226e27ce8042022-12-22T03:22:13ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502022-10-01X-3-W2-2022232810.5194/isprs-annals-X-3-W2-2022-23-2022ON THE ESTIMATION OF VEHICLE TRAJECTORIES WITH A MINI-UASF. Mugnai0A. Masiero1B. Ciuffo2Dept. of Civil and Environmental Engineering, University of Florence, via di Santa Marta 3, Florence 50139, ItalyDept. of Civil and Environmental Engineering, University of Florence, via di Santa Marta 3, Florence 50139, ItalyDirectorate for Energy, Transport and Climate Change, European Commission, Joint Research Center, via E. Fermi 2749, Ispra 21027, ItalyThe 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.https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/X-3-W2-2022/23/2022/isprs-annals-X-3-W2-2022-23-2022.pdf
spellingShingle F. Mugnai
A. Masiero
B. Ciuffo
ON THE ESTIMATION OF VEHICLE TRAJECTORIES WITH A MINI-UAS
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title ON THE ESTIMATION OF VEHICLE TRAJECTORIES WITH A MINI-UAS
title_full ON THE ESTIMATION OF VEHICLE TRAJECTORIES WITH A MINI-UAS
title_fullStr ON THE ESTIMATION OF VEHICLE TRAJECTORIES WITH A MINI-UAS
title_full_unstemmed ON THE ESTIMATION OF VEHICLE TRAJECTORIES WITH A MINI-UAS
title_short ON THE ESTIMATION OF VEHICLE TRAJECTORIES WITH A MINI-UAS
title_sort on the estimation of vehicle trajectories with a mini uas
url https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/X-3-W2-2022/23/2022/isprs-annals-X-3-W2-2022-23-2022.pdf
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