Klionovska, Ksenia und Benninghoff, Heike und Huber, Felix (2019) More Accurate Pose Initialization with Redundant Measurements. In: 14th International Conference on Computer Vision Theory and Applications, VISAPP 2019 - Part of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2019. 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2019-02-25 - 2019-02-27, Prag, Tschechische Republik. doi: 10.5220/0007378001460153.
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Offizielle URL: https://www.scitepress.org/PublicationsDetail.aspx?ID=VZJsYlzuNAE=&t=1
Kurzfassung
The problem described in this paper concerns the problem of initial pose estimation of a non-cooperative target for space applications. We propose to use a Photonic Mixer Device (PMD) sensor in a close range for the visual navigation in order to estimate position and attitude of the space object. The advantage of the ranging PMD sensor is that it provides two different sources of data: depth and amplitude information of the imaging scene. In this work we make use of it and propose a follow-up initial pose improvement technique with the amplitude images from PMD sensor. It means that we primary calculate the pose of the target with the depth image and then correct the pose to get more accurate result. The algorithm is tested for the set of images in the range 8 to 4.9 meters. The obtained results have shown the evident improvement of the initial pose after correction with the proposed technique.
elib-URL des Eintrags: | https://elib.dlr.de/133540/ | ||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||
Titel: | More Accurate Pose Initialization with Redundant Measurements | ||||||||||||||||
Autoren: |
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Datum: | 2019 | ||||||||||||||||
Erschienen in: | 14th International Conference on Computer Vision Theory and Applications, VISAPP 2019 - Part of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2019 | ||||||||||||||||
Referierte Publikation: | Nein | ||||||||||||||||
Open Access: | Ja | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||
DOI: | 10.5220/0007378001460153 | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | Photonic Mixer Device (PMD) Sensor, 3D-2D Pose Estimation, Hough Line Transform | ||||||||||||||||
Veranstaltungstitel: | 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications | ||||||||||||||||
Veranstaltungsort: | Prag, Tschechische Republik | ||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||
Veranstaltungsbeginn: | 25 Februar 2019 | ||||||||||||||||
Veranstaltungsende: | 27 Februar 2019 | ||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||
HGF - Programmthema: | Technik für Raumfahrtsysteme | ||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||
DLR - Forschungsgebiet: | R SY - Technik für Raumfahrtsysteme | ||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Projekt OOS-E2E (alt) | ||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||
Institute & Einrichtungen: | Raumflugbetrieb und Astronautentraining | ||||||||||||||||
Hinterlegt von: | Frei, Heike | ||||||||||||||||
Hinterlegt am: | 21 Jan 2020 17:02 | ||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:36 |
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