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Zhang, Hongmou und Ernst, Ines und Zuev, Sergey und Börner, Anko und Knoche, Martin und Klette, Reinhard (2018) Visual Odometry and 3D Point Clouds under Low-light Conditions. Image and Vision Computing New Zealand 2018, 2018-11-19 - 2018-11-21, Auckland, New Zealand. doi: 10.1109/IVCNZ.2018.8634769.
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Offizielle URL: http://ivcnz2018.massey.ac.nz/
Kurzfassung
The paper discusses an evaluation of visual odometry accuracy with respect to available lighting. Very extensive test data (along one country-side road in New Zealand) have been recorded at day and at night. Used sensors are stereo cameras and an inertial measurement unit (IMU). The paper discusses odometry results for the cases when using visual odometry only (i.e. based on the stereo camera data), or additionally also using the IMU. The paper also presents 3D point cloud reconstruction under low-light conditions by using visual odometry and IMU combined.
| elib-URL des Eintrags: | https://elib.dlr.de/125394/ | ||||||||||||||||||||||||||||
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| Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||||||||||
| Titel: | Visual Odometry and 3D Point Clouds under Low-light Conditions | ||||||||||||||||||||||||||||
| Autoren: |
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| Datum: | 19 November 2018 | ||||||||||||||||||||||||||||
| Referierte Publikation: | Ja | ||||||||||||||||||||||||||||
| Open Access: | Nein | ||||||||||||||||||||||||||||
| Gold Open Access: | Nein | ||||||||||||||||||||||||||||
| In SCOPUS: | Nein | ||||||||||||||||||||||||||||
| In ISI Web of Science: | Nein | ||||||||||||||||||||||||||||
| DOI: | 10.1109/IVCNZ.2018.8634769 | ||||||||||||||||||||||||||||
| Status: | veröffentlicht | ||||||||||||||||||||||||||||
| Stichwörter: | IMU, visual odometry, Low-light Conditions, integrated positioning system | ||||||||||||||||||||||||||||
| Veranstaltungstitel: | Image and Vision Computing New Zealand 2018 | ||||||||||||||||||||||||||||
| Veranstaltungsort: | Auckland, New Zealand | ||||||||||||||||||||||||||||
| Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||||||||||
| Veranstaltungsbeginn: | 19 November 2018 | ||||||||||||||||||||||||||||
| Veranstaltungsende: | 21 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 09:30 | ||||||||||||||||||||||||||||
| Letzte Änderung: | 24 Apr 2024 20:29 |
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