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Enhancing Road Maps by Parsing Aerial Images Around the World

Mattyus, Gellert and Wang, Shenlong and Fidler, Sanja and Urtasun, Raquel (2015) Enhancing Road Maps by Parsing Aerial Images Around the World. In: Computer Vision (ICCV), International Conference on, pp. 1689-1697. IEEE. International Conference on Computer Vision, 13-16 Dez. 2015, Santiago de Chile, Chile.

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Abstract

In recent years, contextual models that exploit maps have been shown to be very effective for many recognition and localization tasks. In this paper we propose to exploit aerial images in order to enhance freely available world maps. Towards this goal, we make use of OpenStreetMap and formulate the problem as the one of inference in a Markov random field parameterized in terms of the location of the road-segment centerlines as well as their width. This parameterization enables very efficient inference and returns only topologically correct roads. In particular, we can segment all OSM roads in the whole world in a single day using a small cluster of 10 computers. Importantly, our approach generalizes very well; it can be trained using only 1.5 km2 aerial imagery and produce very accurate results in any location across the globe. We demonstrate the effectiveness of our approach outperforming the state-of-the-art in two new benchmarks that we collect. We then show how our enhanced maps are beneficial for semantic segmentation of ground images.

Item URL in elib:https://elib.dlr.de/100653/
Document Type:Conference or Workshop Item (Poster)
Title:Enhancing Road Maps by Parsing Aerial Images Around the World
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Mattyus, Gellertgellert.mattyus (at) dlr.deUNSPECIFIED
Wang, Shenlongslwang (at) cs.toronto.eduUNSPECIFIED
Fidler, Sanjafidler (at) cs.toronto.eduUNSPECIFIED
Urtasun, Raquelurtasun (at) cs.toronto.eduUNSPECIFIED
Date:December 2015
Journal or Publication Title:Computer Vision (ICCV), International Conference on
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1689-1697
Publisher:IEEE
Series Name:Computer Vision (ICCV), International Conference on
Status:Published
Keywords:computer vision, image processing, remote sensing, road mapping
Event Title:International Conference on Computer Vision
Event Location:Santiago de Chile, Chile
Event Type:international Conference
Event Dates:13-16 Dez. 2015
Organizer:IEEE, Computer Vision Foundation
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: Mattyus, Gellert Sandor
Deposited On:10 Dec 2015 09:30
Last Modified:31 Jul 2019 19:57

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