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

Sheu, Chun-Yu and Kurz, Franz and 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, pp. 1-8. ISPRS TC I Midterm Symposium 2018, 10.-12. Okt. 2018, Karlsruhe, Deutschland. DOI: 10.5194/isprs-annals-IV-1-147-2018 ISSN 2194-9042

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

Abstract

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.

Item URL in elib:https://elib.dlr.de/120767/
Document Type:Conference or Workshop Item (Speech, Poster)
Title:Automatic 3D lane marking reconstruction using multi-view aerial imagery
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Sheu, Chun-Yuchun-yu.sheu (at) dlr.deUNSPECIFIED
Kurz, Franzfranz.kurz (at) dlr.dehttps://orcid.org/0000-0003-1718-0004
d'Angelo, Pablopablo.angelo (at) dlr.deUNSPECIFIED
Date:October 2018
Journal or Publication Title:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:IV-1
DOI :10.5194/isprs-annals-IV-1-147-2018
Page Range:pp. 1-8
ISSN:2194-9042
Status:Published
Keywords:Aerial Image Sequences, 3D Line-features Reconstruction, Lane markings
Event Title:ISPRS TC I Midterm Symposium 2018
Event Location:Karlsruhe, Deutschland
Event Type:international Conference
Event Dates:10.-12. Okt. 2018
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - Vabene++ (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Zielske, Mandy
Deposited On:03 Jul 2018 18:33
Last Modified:31 Jul 2019 20:18

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