Baumbach, Dirk und Zhang, Hongmou und Zuev, Sergey und Wohlfeil, Jürgen und Knoche, Martin und Klette, Reinhard (2018) GPS and IMU Require Visual Odometry for Elevation Accuracy. In: Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance. AVSS 2018 15th IEEE International Conference on Advanced Video and Signal-based Surveillance, 2018-11-27 - 2018-11-30, Auckland, New Zealand. doi: 10.1109/AVSS.2018.8639138. ISBN 978-153869294-3.
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Offizielle URL: https://avss2018.org/cfp
Kurzfassung
Currently, self-localization of vehicles is primarily carried out by GPS receivers of different price and performance classes, which are permanently installed in vehicles. Known limitations of GPS-based localization include signal disturbances due to multipath propagation, as it may occur in narrow street canyons or tree alleys, as well as signal losses in tunnels or entrances to buildings, for example. It may happen that horizontal GPS channels still support a useful 2D positioning with low uncertainties while the GPS altitude channel has very large deviations or error uncertainties. Additional sensors (IMU or cameras) help to detect sections of trajectories where the GPS signal becomes unusable. Based on a traditional navigation strategy (i.e. integration of IMU and GPS), we also study the possible integration of visual odometry obtained from a stereo camera system. The paper reports about a large-scale project studying multi-sensor integration for very accurate and robust self-localization of vehicles.
elib-URL des Eintrags: | https://elib.dlr.de/125393/ | ||||||||||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag, Poster) | ||||||||||||||||||||||||||||
Titel: | GPS and IMU Require Visual Odometry for Elevation Accuracy | ||||||||||||||||||||||||||||
Autoren: |
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Datum: | 27 November 2018 | ||||||||||||||||||||||||||||
Erschienen in: | Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance | ||||||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||||||||||
DOI: | 10.1109/AVSS.2018.8639138 | ||||||||||||||||||||||||||||
ISBN: | 978-153869294-3 | ||||||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||||||
Stichwörter: | GPS, integrated positioning system, IMU, Elevation, Visual Odometry | ||||||||||||||||||||||||||||
Veranstaltungstitel: | AVSS 2018 15th IEEE International Conference on Advanced Video and Signal-based Surveillance | ||||||||||||||||||||||||||||
Veranstaltungsort: | Auckland, New Zealand | ||||||||||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||||||||||
Veranstaltungsbeginn: | 27 November 2018 | ||||||||||||||||||||||||||||
Veranstaltungsende: | 30 November 2018 | ||||||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||||||
HGF - Programm: | Verkehr | ||||||||||||||||||||||||||||
HGF - Programmthema: | Bodengebundener Verkehr (alt) | ||||||||||||||||||||||||||||
DLR - Schwerpunkt: | Verkehr | ||||||||||||||||||||||||||||
DLR - Forschungsgebiet: | V BF - Bodengebundene Fahrzeuge | ||||||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | V - Fahrzeugintelligenz (alt) | ||||||||||||||||||||||||||||
Standort: | Berlin-Adlershof | ||||||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Optische Sensorsysteme > Echtzeit-Datenprozessierung | ||||||||||||||||||||||||||||
Hinterlegt von: | Zhang, Hongmou | ||||||||||||||||||||||||||||
Hinterlegt am: | 08 Jan 2019 09:25 | ||||||||||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:29 |
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