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Automatic 3D lane marking reconstruction using multi-view aerial imagery

Sheu, Chun-Yu und Kurz, Franz und d'Angelo, Pablo (2018) Automatic 3D lane marking reconstruction using multi-view aerial imagery. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-1, Seiten 1-8. ISPRS TC I Midterm Symposium 2018, 2018-10-10 - 2018-10-12, Karlsruhe, Deutschland. doi: 10.5194/isprs-annals-IV-1-147-2018. ISSN 2194-9042.

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Offizielle URL: https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-1/147/2018/

Kurzfassung

The 3D information of road infrastructures are gaining importance with the development of autonomous driving. The exact absolute position and height of lane markings, for example, support lane-accurate localization. Several approaches have been proposed for the 3D reconstruction of line features from multi-view airborne optical imagery. However, standard appearance-based matching approaches for 3D reconstruction are hardly applicable on lane markings due to the similar color profile of all lane markings and the lack of textures in their neighboring areas. We present a workflow for 3D lane markings reconstruction without explicit feature matching process using multi-view aerial imagery. The aim is to optimize the best 3D line location by minimizing the distance from its back projection to the detected 2D line in all the covering images. Firstly, the lane markings are automatically extracted from aerial images using standard line detection algorithms. By projecting these extracted lines onto the Semi-Global Matching (SGM) generated Digital Surface Model (DSM), the approximate 3D line segments are generated. Starting from these approximations, the 3D lines are iteratively refined based on the detected 2D lines in the original images and the viewing geometry. The proposed approach relies on precise detection of 2D lines in image space, a pre-knowledge of the approximate 3D line segments, and it heavily relies on image orientations. Nevertheless, it avoids the problem of non-textured neighborhood and is not limited to lines of finite length. The theoretical precision of 3D reconstruction with the proposed framework is evaluated.

elib-URL des Eintrags:https://elib.dlr.de/120767/
Dokumentart:Konferenzbeitrag (Vortrag, Poster)
Titel:Automatic 3D lane marking reconstruction using multi-view aerial imagery
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Sheu, Chun-Yuchun-yu.sheu (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Kurz, Franzfranz.kurz (at) dlr.dehttps://orcid.org/0000-0003-1718-0004NICHT SPEZIFIZIERT
d'Angelo, Pablopablo.angelo (at) dlr.dehttps://orcid.org/0000-0001-8541-3856NICHT SPEZIFIZIERT
Datum:Oktober 2018
Erschienen in:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:IV-1
DOI:10.5194/isprs-annals-IV-1-147-2018
Seitenbereich:Seiten 1-8
ISSN:2194-9042
Status:veröffentlicht
Stichwörter:Aerial Image Sequences, 3D Line-features Reconstruction, Lane markings
Veranstaltungstitel:ISPRS TC I Midterm Symposium 2018
Veranstaltungsort:Karlsruhe, Deutschland
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:10 Oktober 2018
Veranstaltungsende:12 Oktober 2018
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Verkehr
HGF - Programmthema:Verkehrsmanagement (alt)
DLR - Schwerpunkt:Verkehr
DLR - Forschungsgebiet:V VM - Verkehrsmanagement
DLR - Teilgebiet (Projekt, Vorhaben):V - Vabene++ (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Methodik der Fernerkundung > Photogrammetrie und Bildanalyse
Hinterlegt von: Zielske, Mandy
Hinterlegt am:03 Jul 2018 18:33
Letzte Änderung:24 Apr 2024 20:24

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