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dc.contributor.authorBiçici, Serkan
dc.contributor.authorZeybek, Mustafa
dc.date.accessioned2022-03-25T06:09:30Z
dc.date.available2022-03-25T06:09:30Z
dc.date.issued2022en_US
dc.identifier.citationBiçici, S., & Zeybek, M. (2021, November). Improvements on Road Centerline Extraction by Combining Voronoi Diagram and Intensity Feature from 3D UAV-Based Point Cloud. In The Proceedings of the International Conference on Smart City Applications (pp. 935-944). Springer, Cham.en_US
dc.identifier.urihttps://hdl.handle.net/11494/3757
dc.description6th International Conference on Smart City Applications, SCA 2021Safranbolu27 October 2021 through 29 October 2021Code 274389en_US
dc.description.abstractThis study presents an application for road data users to make it easier to identify the centerline of roads. Images obtained from high-resolution unmanned aerial vehicles (UAV) provide a reliable database for fundamental applications such as road safety, road maintenance, traffic network, city planning, and vehicle navigation systems, thanks to accurate road extraction and centerline. Road extraction methods are based on algorithms that usually classify roads from 2D images. However, such data are difficult to provide high accuracy spatial information. Moreover, there are limitations for spatial information extraction problems for the road centerline. To overcome these limitations, we present a method to extract road centerline with 3D data based on point clouds that provide reliable information from UAV images. Commonly used three measures, namely Completeness, Correctness and Quality, for the road centerline extraction are 0.905, 0.999 and 0.905, respectively.en_US
dc.language.isoengen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPoint clouden_US
dc.subjectRoad centerlineen_US
dc.subjectRoad laneen_US
dc.subjectUAVen_US
dc.subjectVoronoi diagramen_US
dc.titleImprovements on road centerline extraction by combining voronoi diagram and intensity feature from 3D UAV-based point clouden_US
dc.typeconferenceObjecten_US
dc.relation.journalLecture Notes in Networks and Systems/ 6th International Conference on Smart City Applicationsen_US
dc.departmentAÇÜ, Mühendislik Fakültesi, Harita Mühendisliği Bölümüen_US
dc.identifier.volume393en_US
dc.identifier.startpage935en_US
dc.identifier.endpage944en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1007/978-3-030-94191-8_76en_US
dc.contributor.institutionauthorBiçici, Serkan


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