Road Dynamic Object Mapping System Based on Edge-Fog-Cloud Computing

Dynamic objects appearing on the road without notice can cause serious accidents. However, the detection ranges of roadside unit and CCTV that collect current road information are very limited. Moreover, there are a lack of systems for managing the collected information. In this study, a dynamic map...

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Autores principales:	Sooyeon Shin, Jungseok Kim, Changjoo Moon
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	connected car dynamic map big data location estimation grid-based mapping Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/c99f644d4eea4b74a7f9851fe02b244d
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id	oai:doaj.org-article:c99f644d4eea4b74a7f9851fe02b244d
record_format	dspace
spelling	oai:doaj.org-article:c99f644d4eea4b74a7f9851fe02b244d2021-11-25T17:24:59ZRoad Dynamic Object Mapping System Based on Edge-Fog-Cloud Computing10.3390/electronics102228252079-9292https://doaj.org/article/c99f644d4eea4b74a7f9851fe02b244d2021-11-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/22/2825https://doaj.org/toc/2079-9292Dynamic objects appearing on the road without notice can cause serious accidents. However, the detection ranges of roadside unit and CCTV that collect current road information are very limited. Moreover, there are a lack of systems for managing the collected information. In this study, a dynamic mapping system was implemented using a connected car that collected road environments data continuously. Additionally, edge-fog-cloud computing was applied to efficiently process large amounts of road data. For accurate dynamic mapping, the following steps are proposed: first, the classification and 3D position of road objects are estimated through a stereo camera and GPS data processing, and the coordinates of objects are mapped to a preset grid cell. Second, object information is transmitted in real time to a constructed big data processing platform. Subsequently, the collected information is compared with the grid information of an existing map, and the map is updated. As a result, an accurate dynamic map is created and maintained. In addition, this study verifies that maps can be shared in real time with IoT devices in various network environments, and this can support a safe driving milieu.Sooyeon ShinJungseok KimChangjoo MoonMDPI AGarticleconnected cardynamic mapbig datalocation estimationgrid-based mappingElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2825, p 2825 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	connected car dynamic map big data location estimation grid-based mapping Electronics TK7800-8360
spellingShingle	connected car dynamic map big data location estimation grid-based mapping Electronics TK7800-8360 Sooyeon Shin Jungseok Kim Changjoo Moon Road Dynamic Object Mapping System Based on Edge-Fog-Cloud Computing
description	Dynamic objects appearing on the road without notice can cause serious accidents. However, the detection ranges of roadside unit and CCTV that collect current road information are very limited. Moreover, there are a lack of systems for managing the collected information. In this study, a dynamic mapping system was implemented using a connected car that collected road environments data continuously. Additionally, edge-fog-cloud computing was applied to efficiently process large amounts of road data. For accurate dynamic mapping, the following steps are proposed: first, the classification and 3D position of road objects are estimated through a stereo camera and GPS data processing, and the coordinates of objects are mapped to a preset grid cell. Second, object information is transmitted in real time to a constructed big data processing platform. Subsequently, the collected information is compared with the grid information of an existing map, and the map is updated. As a result, an accurate dynamic map is created and maintained. In addition, this study verifies that maps can be shared in real time with IoT devices in various network environments, and this can support a safe driving milieu.
format	article
author	Sooyeon Shin Jungseok Kim Changjoo Moon
author_facet	Sooyeon Shin Jungseok Kim Changjoo Moon
author_sort	Sooyeon Shin
title	Road Dynamic Object Mapping System Based on Edge-Fog-Cloud Computing
title_short	Road Dynamic Object Mapping System Based on Edge-Fog-Cloud Computing
title_full	Road Dynamic Object Mapping System Based on Edge-Fog-Cloud Computing
title_fullStr	Road Dynamic Object Mapping System Based on Edge-Fog-Cloud Computing
title_full_unstemmed	Road Dynamic Object Mapping System Based on Edge-Fog-Cloud Computing
title_sort	road dynamic object mapping system based on edge-fog-cloud computing
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/c99f644d4eea4b74a7f9851fe02b244d
work_keys_str_mv	AT sooyeonshin roaddynamicobjectmappingsystembasedonedgefogcloudcomputing AT jungseokkim roaddynamicobjectmappingsystembasedonedgefogcloudcomputing AT changjoomoon roaddynamicobjectmappingsystembasedonedgefogcloudcomputing
_version_	1718412437440430080

Road Dynamic Object Mapping System Based on Edge-Fog-Cloud Computing

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