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A novel geodetic engineering method for accurate and automated road/railway centerline geometry extraction based on the bearing diagram and fractal behavior

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dc.contributor.author Gikas, V en
dc.contributor.author Stratakos, J en
dc.date.accessioned 2014-03-01T02:07:23Z
dc.date.available 2014-03-01T02:07:23Z
dc.date.issued 2012 en
dc.identifier.issn 15249050 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/29555
dc.subject Bearing diagram en
dc.subject centerline alignment en
dc.subject clothoid en
dc.subject digital map en
dc.subject fractal geometry en
dc.subject global positioning system (GPS) en
dc.subject road extraction en
dc.subject.other Centerlines en
dc.subject.other Clothoids en
dc.subject.other Digital map en
dc.subject.other fractal geometry en
dc.subject.other Global positioning en
dc.subject.other Road extraction en
dc.subject.other Algorithms en
dc.subject.other Alignment en
dc.subject.other Fractals en
dc.subject.other Geodesy en
dc.subject.other Geodetic satellites en
dc.subject.other Global positioning system en
dc.subject.other Intelligent systems en
dc.subject.other Mathematical models en
dc.subject.other Navigation systems en
dc.subject.other Software testing en
dc.subject.other Intelligent vehicle highway systems en
dc.title A novel geodetic engineering method for accurate and automated road/railway centerline geometry extraction based on the bearing diagram and fractal behavior en
heal.type journalArticle en
heal.identifier.primary 10.1109/TITS.2011.2163186 en
heal.identifier.secondary http://dx.doi.org/10.1109/TITS.2011.2163186 en
heal.identifier.secondary 6003789 en
heal.publicationDate 2012 en
heal.abstract This paper describes a novel approach for extracting the centerline geometry of road/railway alignments in the form of traditional design elements (i.e., straight lines, circle arcs, and clothoids). As opposed to previous research, the proposed method attempts a completely general and a fully automated solution to the problem in a rigorous mathematical manner. Centerline locations originate in a ground-based mobile mapping system (e.g., global navigation satellite system/inertial navigation system vehicle trajectory or kinematic laser scanning profiles of the road/railway corridor). The core of the algorithm resides on the use, manipulation, and suitable reformulations of the bearing diagram of the centerline locations and its first- and second-order derivatives. To ensure highly accurate and consistent results, the algorithm practices a series of specifically designed/dynamically tuned filters that fully adhere to the fractal properties of the centerline location data. Extended test runs were undertaken to validate the correctness of the mathematical model and the feasibility of the algorithms and associated software. In this paper, test results using a simulated and a real (based on a multisensor geodetic survey) subset of a railway track data are discussed. © 2011 IEEE. en
heal.journalName IEEE Transactions on Intelligent Transportation Systems en
dc.identifier.doi 10.1109/TITS.2011.2163186 en
dc.identifier.volume 13 en
dc.identifier.issue 1 en
dc.identifier.spage 115 en
dc.identifier.epage 126 en


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