Kaufmann, Hannah (2014) Shadow-based matching for robust absolute localization during lunar landings. DLR-Interner Bericht. DLR-IB 572-2014/02. Masterarbeit. Technische Universität Berlin. 128 S.
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Kurzfassung
The exploration of the moon can give insights to the evolution and history of the solar system. Future lunar exploration missions require autonomous, safe and precise landings close to scientific spots of interest. Currently the German Aerospace Center (DLR, ger.:Deutsches Zentrum für Luft- und Raumfahrt) investigates several optical localization methods and the fusion of their results within the project ATON (Autonomous Terrain based Optical Navigation system). This shall allow precise landing in a region of a couple of hundred meters around a designated landing site. This thesis investigates an image-based, monocular method for precise position estimation during lunar landings. It is especially designed for the last phase until touchdown, which is still challenging. The image taken by the spacecraft during the descent is matched with an image of the same scene, which is preprocessed prior on earth. The position can be estimated from the correlation of both images. To correlate both images, the shadows seen in the two images, are matched. The proposed method is evaluated in software simulation. It is shown, that the method has the potential to precisely estimate the position during lunar landings, especially during the last landing phase until touchdown. The method is mostly invariant to sun angle variations and relatively large perspective differences between the images.
elib-URL des Eintrags: | https://elib.dlr.de/104214/ | ||||||||
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Dokumentart: | Berichtsreihe (DLR-Interner Bericht, Masterarbeit) | ||||||||
Titel: | Shadow-based matching for robust absolute localization during lunar landings | ||||||||
Autoren: |
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Datum: | 27 Januar 2014 | ||||||||
Referierte Publikation: | Nein | ||||||||
Open Access: | Ja | ||||||||
Seitenanzahl: | 128 | ||||||||
Status: | veröffentlicht | ||||||||
Stichwörter: | lunar landing, mono camera, matching, shadow, autonomous | ||||||||
Institution: | Technische Universität Berlin | ||||||||
Abteilung: | Faculty IV - Electrical Engineering and Computer Science - Department of Computer Engineering and Microelectronics - Computer Vision and Remote Sensing Laboratory | ||||||||
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 - Vorhaben Multisensorielle Weltmodellierung (alt) | ||||||||
Standort: | Oberpfaffenhofen | ||||||||
Institute & Einrichtungen: | Institut für Robotik und Mechatronik (ab 2013) > Perzeption und Kognition | ||||||||
Hinterlegt von: | Lingenauber, Martin | ||||||||
Hinterlegt am: | 09 Mai 2016 09:19 | ||||||||
Letzte Änderung: | 31 Jul 2019 20:01 |
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