Study on Relative Accuracy and Verification Method of High-Definition Maps for Autonomous Driving

High-definition maps (HDM) for autonomous driving (AD) are an important component of AD systems. HDMs accurately provide a priori information, including lane lines, and road signs, for AD systems. It is an important task to make a reasonable accuracy assessment of the HDM. The current methods for re...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Tengfei Yu, He Huang, Nana Jiang, Tri Dev Acharya
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	autonomous driving high-definition map accuracy evaluation iterative closest point alignment Geography (General) G1-922
Acceso en línea:	https://doaj.org/article/319bbc2947924848bc0e72068f814966
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:319bbc2947924848bc0e72068f814966
record_format	dspace
spelling	oai:doaj.org-article:319bbc2947924848bc0e72068f8149662021-11-25T17:53:03ZStudy on Relative Accuracy and Verification Method of High-Definition Maps for Autonomous Driving10.3390/ijgi101107612220-9964https://doaj.org/article/319bbc2947924848bc0e72068f8149662021-11-01T00:00:00Zhttps://www.mdpi.com/2220-9964/10/11/761https://doaj.org/toc/2220-9964High-definition maps (HDM) for autonomous driving (AD) are an important component of AD systems. HDMs accurately provide a priori information, including lane lines, and road signs, for AD systems. It is an important task to make a reasonable accuracy assessment of the HDM. The current methods for relative accuracy evaluation of general maps in the field of mapping are not fully applicable to HDMs. In this study, a method based on point set alignment and resampling is used to evaluate the relative accuracy of lane lines, and experiments are conducted based on relevant real HDM data. The results show that the relative accuracy of the lane lines is more detailed and relevant than the traditional method. This has implications for the quality control of HDM production.Tengfei YuHe HuangNana JiangTri Dev AcharyaMDPI AGarticleautonomous drivinghigh-definition mapaccuracy evaluationiterative closest point alignmentGeography (General)G1-922ENISPRS International Journal of Geo-Information, Vol 10, Iss 761, p 761 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	autonomous driving high-definition map accuracy evaluation iterative closest point alignment Geography (General) G1-922
spellingShingle	autonomous driving high-definition map accuracy evaluation iterative closest point alignment Geography (General) G1-922 Tengfei Yu He Huang Nana Jiang Tri Dev Acharya Study on Relative Accuracy and Verification Method of High-Definition Maps for Autonomous Driving
description	High-definition maps (HDM) for autonomous driving (AD) are an important component of AD systems. HDMs accurately provide a priori information, including lane lines, and road signs, for AD systems. It is an important task to make a reasonable accuracy assessment of the HDM. The current methods for relative accuracy evaluation of general maps in the field of mapping are not fully applicable to HDMs. In this study, a method based on point set alignment and resampling is used to evaluate the relative accuracy of lane lines, and experiments are conducted based on relevant real HDM data. The results show that the relative accuracy of the lane lines is more detailed and relevant than the traditional method. This has implications for the quality control of HDM production.
format	article
author	Tengfei Yu He Huang Nana Jiang Tri Dev Acharya
author_facet	Tengfei Yu He Huang Nana Jiang Tri Dev Acharya
author_sort	Tengfei Yu
title	Study on Relative Accuracy and Verification Method of High-Definition Maps for Autonomous Driving
title_short	Study on Relative Accuracy and Verification Method of High-Definition Maps for Autonomous Driving
title_full	Study on Relative Accuracy and Verification Method of High-Definition Maps for Autonomous Driving
title_fullStr	Study on Relative Accuracy and Verification Method of High-Definition Maps for Autonomous Driving
title_full_unstemmed	Study on Relative Accuracy and Verification Method of High-Definition Maps for Autonomous Driving
title_sort	study on relative accuracy and verification method of high-definition maps for autonomous driving
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/319bbc2947924848bc0e72068f814966
work_keys_str_mv	AT tengfeiyu studyonrelativeaccuracyandverificationmethodofhighdefinitionmapsforautonomousdriving AT hehuang studyonrelativeaccuracyandverificationmethodofhighdefinitionmapsforautonomousdriving AT nanajiang studyonrelativeaccuracyandverificationmethodofhighdefinitionmapsforautonomousdriving AT tridevacharya studyonrelativeaccuracyandverificationmethodofhighdefinitionmapsforautonomousdriving
_version_	1718411855836217344

Study on Relative Accuracy and Verification Method of High-Definition Maps for Autonomous Driving

Ejemplares similares