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An algorithmic approach to quantifying GPS trajectory error

Par Conseil national de recherches du Canada

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AuteurRechercher : ; Rechercher : ; Rechercher : ; Rechercher : 1; Rechercher :
Affiliation
  1. Conseil national de recherches Canada. Technologies numériques
FormatTexte, Article
ConférenceIEEE/CVF International Conference on Computer Vision (ICCV) Workshops 2021, Oct. 11-17, 2021 [Held Virtually]
Résumé
The alignment of aerial and satellite imagery with ground sensor data is an ongoing research challenge. In dense urban environments, part of this challenge is induced by the positioning error of Global Positioning System (GPS). Despite the potential for error, many studies use GPS in order to infer road networks because GPS data is inexpensive and can be acquired quickly. Major transit organizations are freely providing data on the real-time position of their buses as well as ground truth route trajectories. This work exploits geospatial open data to construct a database of historical GPS from bus roads. Using this database, the GPS error map along main arteries of major cities can be reconstructed. The extraction of error maps is highly relevant for the planning and the joint exploitation of airborne and ground-based imagery. In this work, we use bus routes in downtown Victoria, BC, Canada and Adelaide, Australia to demonstrate the extraction GPS error maps.
Date de publication
Maison d’éditionComputer Vision Foundation
IEEE
Dans
  • Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops (17 octobre 2021) : 3909–3916.
Langueanglais
Publications évaluées par des pairsOui
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Identificateur de l’enregistrement5ff1657e-d121-4bb2-a30b-3d43d5927825
Enregistrement créé2021-11-09
Enregistrement modifié2022-03-24
Date de modification :