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

Gikas, V; Stratakos, J

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