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Shadow-based matching for robust absolute localization during lunar landings

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/
Dokumentart:Berichtsreihe (DLR-Interner Bericht, Masterarbeit)
Titel:Shadow-based matching for robust absolute localization during lunar landings
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Kaufmann, Hannahhannah.kaufmann (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
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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