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On Precisely Determining Self-Cast Shadow Regions in Aerial Camera Images

Gatter, Alexander und Andert, Franz (2018) On Precisely Determining Self-Cast Shadow Regions in Aerial Camera Images. In: 2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018. International Conference on Unmanned Aircraft Systems (ICUAS) 2018, 2018-06-12 - 2018-06-15, Dallas, USA.

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Kurzfassung

This paper addresses the occurrence of self-cast shadows in on-board images of aerial vehicles which are caused by the Sun. Due to the shadows nature of modifying the observed scenery within these images, self-cast shadow poses a not negligible problem to several computer vision applications like remote sensing, visual odometry, or tracking tasks. Therefore, a possibility is needed to reliably identify self-cast shadow regions and to exclude them from further processing tasks. The proposed model-based approach achieves this by using data that is accessible for most aerial vehicles (i.e. data provided by an Inertial Navigation System and a geometrical model of the shadow casting object). In this paper, the algorithm to detect self-cast shadows in on-board images is presented in detail, focusing on its potential impact on visual odometry. This algorithm is applied to flight test data which has been recorded by an unmanned helicopter that is operated by the German Aerospace Center. The performance of the algorithm is evaluated by comparing the test results to empirically determined ground truth data. The results show an accuracy of close to 100 % in terms of finding the correct area of the self-cast shadow and a high similarity between the shape of the real self-cast shadow and the estimated shadow.

elib-URL des Eintrags:https://elib.dlr.de/120485/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:On Precisely Determining Self-Cast Shadow Regions in Aerial Camera Images
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Gatter, AlexanderAlexander.Gatter (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Andert, FranzFranz.Andert (at) dlr.dehttps://orcid.org/0000-0002-1638-7735NICHT SPEZIFIZIERT
Datum:Juni 2018
Erschienen in:2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:veröffentlicht
Stichwörter:Computer Vision, Shadow Detection, Optical Navigation
Veranstaltungstitel:International Conference on Unmanned Aircraft Systems (ICUAS) 2018
Veranstaltungsort:Dallas, USA
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:12 Juni 2018
Veranstaltungsende:15 Juni 2018
Veranstalter :IEEE/ICUAS Association
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Luftfahrt
HGF - Programmthema:Hubschrauber
DLR - Schwerpunkt:Luftfahrt
DLR - Forschungsgebiet:L RR - Rotorcraft Research
DLR - Teilgebiet (Projekt, Vorhaben):L - Der Innovative Drehflügler (alt)
Standort: Berlin-Adlershof , Braunschweig
Institute & Einrichtungen:Institut für Flugsystemtechnik > Hubschrauber
Institut für Verkehrssystemtechnik > Datenerfassung und Informationsgewinnung
Hinterlegt von: Gatter, Alexander
Hinterlegt am:18 Jun 2018 14:34
Letzte Änderung:24 Apr 2024 20:24

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