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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| Other Authors: | , , |
| Format: | article |
| Language: | English |
| Published: |
2018
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| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/abstract/document/7281601/ http://ridda2.utp.ac.pa/handle/123456789/5093 |
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| _version_ | 1869451860208779264 |
|---|---|
| author | Cáceres Hernández, Danilo |
| author2 | Filonenko, Alexander Seo, Dongwook Hyun Jo, Kang |
| author2_role | author author author |
| author_browse | Cáceres Hernández, Danilo Filonenko, Alexander Hyun Jo, Kang Seo, Dongwook |
| author_facet | Cáceres Hernández, Danilo Filonenko, Alexander Seo, Dongwook Hyun Jo, Kang |
| author_role | author |
| collection | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| dc.creator.none.fl_str_mv | Cáceres Hernández, Danilo Filonenko, Alexander Seo, Dongwook Hyun Jo, Kang |
| 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.format.none.fl_str_mv | application/pdf text/html |
| 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 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/embargoedAccess |
| 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 |
| dc.subject.none.fl_str_mv | Lane marking recognition laser scanning Lane marking recognition laser scanning |
| dc.title.none.fl_str_mv | Lane marking recognition based on laser scanning |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| 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. |
| eu_rights_str_mv | embargoedAccess |
| format | article |
| id | PA_773f52b9bf50f8a4a840604a9a2b3b0e |
| identifier_str_mv | 2163-5145 |
| instacron_str | U Tecnológica de Panamá |
| institution | U Tecnológica de Panamá |
| instname_str | Universidad Tecnológica de Panamá |
| language | eng |
| network_acronym_str | PA |
| network_name_str | oai la ref anni2 |
| oai_identifier_str | oai:ridda2.utp.ac.pa:123456789/5093 |
| publishDate | 2018 |
| publishDateSort | 2018 |
| reponame_str | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| 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 |
| spellingShingle | Lane marking recognition based on laser scanning Cáceres Hernández, Danilo Lane marking recognition laser scanning Lane marking recognition laser scanning |
| status_str | publishedVersion |
| title | 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_short | Lane marking recognition based on laser scanning |
| title_sort | Lane marking recognition based on laser scanning |
| topic | Lane marking recognition laser scanning Lane marking recognition laser scanning |
| url | https://ieeexplore.ieee.org/abstract/document/7281601/ http://ridda2.utp.ac.pa/handle/123456789/5093 |