Lane marking recognition based on laser scanning

Towards safe autonomous vehicle navigation the problem of lane detection and classification is highly important in the development of advanced driver assistance system (ADAS). This paper proposes a new method to detect the road lane marking for safe autonomous navigation purpose. It focuses on uncon...

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Detalhes bibliográficos
Autores: Cáceres Hernández, Danilo, Filonenko, Alexander, Seo, Dongwook, Hyun Jo, Kang
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:Panamá
Recursos:Universidad Tecnológica de Panamá
Repositorio:Repositorio Institucional de documento digitales de acceso abierto de la UTP
Idioma:inglés
OAI Identifier:oai:ridda2.utp.ac.pa:123456789/5093
Acesso em linha:https://ieeexplore.ieee.org/abstract/document/7281601/
http://ridda2.utp.ac.pa/handle/123456789/5093
Access Level:acceso embargado
Palavra-chave:Lane marking
recognition
laser scanning
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spelling Lane marking recognition based on laser scanningCáceres Hernández, DaniloFilonenko, AlexanderSeo, DongwookHyun Jo, KangLane markingrecognitionlaser scanningLane markingrecognitionlaser scanningTowards safe autonomous vehicle navigation the problem of lane detection and classification is highly important in the development of advanced driver assistance system (ADAS). This paper proposes a new method to detect the road lane marking for safe autonomous navigation purpose. It focuses on unconventional methods of identifying lane markings on a road surface through Laser Measurement System (LMS). This method was executed in three steps. Firstly, to detect lane markings a Density-based spatial clustering of applications with noise (DBSCAN) method was implemented. Secondly, in order to determine the surface course a distance clustering analysis was proposed. Thirdly, the Random Sample Consensus (RANSAC) line fitting method was implemented for removing the noise points around the road lane area. Lastly, an automatic peak detection was implemented to perform lane marking detection on road surfaces. Preliminary results were performed and tested on a group of consecutive fames to prove its effectiveness.Towards safe autonomous vehicle navigation the problem of lane detection and classification is highly important in the development of advanced driver assistance system (ADAS). This paper proposes a new method to detect the road lane marking for safe autonomous navigation purpose. It focuses on unconventional methods of identifying lane markings on a road surface through Laser Measurement System (LMS). This method was executed in three steps. Firstly, to detect lane markings a Density-based spatial clustering of applications with noise (DBSCAN) method was implemented. Secondly, in order to determine the surface course a distance clustering analysis was proposed. Thirdly, the Random Sample Consensus (RANSAC) line fitting method was implemented for removing the noise points around the road lane area. Lastly, an automatic peak detection was implemented to perform lane marking detection on road surfaces. Preliminary results were performed and tested on a group of consecutive fames to prove its effectiveness.2018-06-29T21:43:15Z2018-06-29T21:43:15Z2018-06-29T21:43:15Z2018-06-29T21:43:15Z06/03/201506/03/2015info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://ieeexplore.ieee.org/abstract/document/7281601/2163-5145http://ridda2.utp.ac.pa/handle/123456789/5093http://ridda2.utp.ac.pa/handle/123456789/5093enginfo:eu-repo/semantics/embargoedAccessreponame:Repositorio Institucional de documento digitales de acceso abierto de la UTPinstname:Universidad Tecnológica de Panamáinstacron:U Tecnológica de Panamáoai:ridda2.utp.ac.pa:123456789/50932021-07-06T15:34:55Z
dc.title.none.fl_str_mv Lane marking recognition based on laser scanning
title Lane marking recognition based on laser scanning
spellingShingle Lane marking recognition based on laser scanning
Cáceres Hernández, Danilo
Lane marking
recognition
laser scanning
Lane marking
recognition
laser scanning
title_short Lane marking recognition based on laser scanning
title_full Lane marking recognition based on laser scanning
title_fullStr Lane marking recognition based on laser scanning
title_full_unstemmed Lane marking recognition based on laser scanning
title_sort Lane marking recognition based on laser scanning
dc.creator.none.fl_str_mv Cáceres Hernández, Danilo
Filonenko, Alexander
Seo, Dongwook
Hyun Jo, Kang
author Cáceres Hernández, Danilo
author_facet Cáceres Hernández, Danilo
Filonenko, Alexander
Seo, Dongwook
Hyun Jo, Kang
author_role author
author2 Filonenko, Alexander
Seo, Dongwook
Hyun Jo, Kang
author2_role author
author
author
dc.subject.none.fl_str_mv Lane marking
recognition
laser scanning
Lane marking
recognition
laser scanning
topic Lane marking
recognition
laser scanning
Lane marking
recognition
laser scanning
description Towards safe autonomous vehicle navigation the problem of lane detection and classification is highly important in the development of advanced driver assistance system (ADAS). This paper proposes a new method to detect the road lane marking for safe autonomous navigation purpose. It focuses on unconventional methods of identifying lane markings on a road surface through Laser Measurement System (LMS). This method was executed in three steps. Firstly, to detect lane markings a Density-based spatial clustering of applications with noise (DBSCAN) method was implemented. Secondly, in order to determine the surface course a distance clustering analysis was proposed. Thirdly, the Random Sample Consensus (RANSAC) line fitting method was implemented for removing the noise points around the road lane area. Lastly, an automatic peak detection was implemented to perform lane marking detection on road surfaces. Preliminary results were performed and tested on a group of consecutive fames to prove its effectiveness.
publishDate 2018
dc.date.none.fl_str_mv 06/03/2015
06/03/2015
2018-06-29T21:43:15Z
2018-06-29T21:43:15Z
2018-06-29T21:43:15Z
2018-06-29T21:43:15Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://ieeexplore.ieee.org/abstract/document/7281601/
2163-5145
http://ridda2.utp.ac.pa/handle/123456789/5093
http://ridda2.utp.ac.pa/handle/123456789/5093
url https://ieeexplore.ieee.org/abstract/document/7281601/
http://ridda2.utp.ac.pa/handle/123456789/5093
identifier_str_mv 2163-5145
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.none.fl_str_mv application/pdf
text/html
dc.source.none.fl_str_mv reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTP
instname:Universidad Tecnológica de Panamá
instacron:U Tecnológica de Panamá
instname_str Universidad Tecnológica de Panamá
instacron_str U Tecnológica de Panamá
institution U Tecnológica de Panamá
reponame_str Repositorio Institucional de documento digitales de acceso abierto de la UTP
collection Repositorio Institucional de documento digitales de acceso abierto de la UTP
repository.name.fl_str_mv
repository.mail.fl_str_mv
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