Deepening method for LeanMAP content based on a virtual trajectory by lateral transcription

In this study, we aim to develop a new upgrading method of digital map content for automated driving on nationwide public roads. In general, a dense waypoint map based on a digital map is necessary to realize precise motion controls of intelligent automobiles. However, current preparation methods fo...

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Autores principales:	Takuma ITO, Satoshi NAKAMURA, Kyoichi TOHRIYAMA, Minoru KAMATA
Formato:	article
Lenguaje:	EN
Publicado:	The Japan Society of Mechanical Engineers 2019
Materias:	automobile intelligent vehicle digital map virtual trajectory map deepening Mechanical engineering and machinery TJ1-1570
Acceso en línea:	https://doaj.org/article/9915d64552964b21823011d4f76f638a
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id	oai:doaj.org-article:9915d64552964b21823011d4f76f638a
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spelling	oai:doaj.org-article:9915d64552964b21823011d4f76f638a2021-11-29T05:43:35ZDeepening method for LeanMAP content based on a virtual trajectory by lateral transcription2187-974510.1299/mej.18-00558https://doaj.org/article/9915d64552964b21823011d4f76f638a2019-05-01T00:00:00Zhttps://www.jstage.jst.go.jp/article/mej/6/3/6_18-00558/_pdf/-char/enhttps://doaj.org/toc/2187-9745In this study, we aim to develop a new upgrading method of digital map content for automated driving on nationwide public roads. In general, a dense waypoint map based on a digital map is necessary to realize precise motion controls of intelligent automobiles. However, current preparation methods for digital maps have two problems for practical use on public roads in wide areas: the size of the map data for onboard storage and the monetary and human resources for manual mapping processes. To solve these problems, in our previous study, we proposed a new digital map called “LeanMAP,” which consists of elementary information about the road, and also proposed an upgrading method of its contents from the level of car navigation map to the level of quasi-precise map. Furthermore, in this study, we propose another upgrading method based on a virtual trajectory to reduce the number of resources necessary for the mapping process to as low as possible. First, we propose a lateral transcription method that generates a virtual trajectory of an adjacent lane. Although three or more driving data items are necessary in order to upgrade the LeanMAP contents in the previous method, the proposed method in this study requires only one item of driving data. Then, to evaluate the accuracy of the dense waypoint map based on the elemental information upgraded by the proposed method, we conduct an initial evaluation using actual driving data on a public road. As a result, we confirm that the proposed system satisfies the target value of less than 1 % lateral error. From this result, we confirm the feasibility that our proposed system can reduce the cost and manual operations of mapping a precise digital map.Takuma ITOSatoshi NAKAMURAKyoichi TOHRIYAMAMinoru KAMATAThe Japan Society of Mechanical Engineersarticleautomobileintelligent vehicledigital mapvirtual trajectorymap deepeningMechanical engineering and machineryTJ1-1570ENMechanical Engineering Journal, Vol 6, Iss 3, Pp 18-00558-18-00558 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	automobile intelligent vehicle digital map virtual trajectory map deepening Mechanical engineering and machinery TJ1-1570
spellingShingle	automobile intelligent vehicle digital map virtual trajectory map deepening Mechanical engineering and machinery TJ1-1570 Takuma ITO Satoshi NAKAMURA Kyoichi TOHRIYAMA Minoru KAMATA Deepening method for LeanMAP content based on a virtual trajectory by lateral transcription
description	In this study, we aim to develop a new upgrading method of digital map content for automated driving on nationwide public roads. In general, a dense waypoint map based on a digital map is necessary to realize precise motion controls of intelligent automobiles. However, current preparation methods for digital maps have two problems for practical use on public roads in wide areas: the size of the map data for onboard storage and the monetary and human resources for manual mapping processes. To solve these problems, in our previous study, we proposed a new digital map called “LeanMAP,” which consists of elementary information about the road, and also proposed an upgrading method of its contents from the level of car navigation map to the level of quasi-precise map. Furthermore, in this study, we propose another upgrading method based on a virtual trajectory to reduce the number of resources necessary for the mapping process to as low as possible. First, we propose a lateral transcription method that generates a virtual trajectory of an adjacent lane. Although three or more driving data items are necessary in order to upgrade the LeanMAP contents in the previous method, the proposed method in this study requires only one item of driving data. Then, to evaluate the accuracy of the dense waypoint map based on the elemental information upgraded by the proposed method, we conduct an initial evaluation using actual driving data on a public road. As a result, we confirm that the proposed system satisfies the target value of less than 1 % lateral error. From this result, we confirm the feasibility that our proposed system can reduce the cost and manual operations of mapping a precise digital map.
format	article
author	Takuma ITO Satoshi NAKAMURA Kyoichi TOHRIYAMA Minoru KAMATA
author_facet	Takuma ITO Satoshi NAKAMURA Kyoichi TOHRIYAMA Minoru KAMATA
author_sort	Takuma ITO
title	Deepening method for LeanMAP content based on a virtual trajectory by lateral transcription
title_short	Deepening method for LeanMAP content based on a virtual trajectory by lateral transcription
title_full	Deepening method for LeanMAP content based on a virtual trajectory by lateral transcription
title_fullStr	Deepening method for LeanMAP content based on a virtual trajectory by lateral transcription
title_full_unstemmed	Deepening method for LeanMAP content based on a virtual trajectory by lateral transcription
title_sort	deepening method for leanmap content based on a virtual trajectory by lateral transcription
publisher	The Japan Society of Mechanical Engineers
publishDate	2019
url	https://doaj.org/article/9915d64552964b21823011d4f76f638a
work_keys_str_mv	AT takumaito deepeningmethodforleanmapcontentbasedonavirtualtrajectorybylateraltranscription AT satoshinakamura deepeningmethodforleanmapcontentbasedonavirtualtrajectorybylateraltranscription AT kyoichitohriyama deepeningmethodforleanmapcontentbasedonavirtualtrajectorybylateraltranscription AT minorukamata deepeningmethodforleanmapcontentbasedonavirtualtrajectorybylateraltranscription
_version_	1718407600761995264

Deepening method for LeanMAP content based on a virtual trajectory by lateral transcription

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