Design of a Multi-layer Lane-Level Map for Vehicle Route Planning
With the development of intelligent transportation system, there occurs further demand for high precision localization and route planning, and simultaneously the traditional road-level map fails to meet with this requirement, by which this paper is motivated. In this paper, t he three-layer lane-lev...
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2017-01-01
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Series: | MATEC Web of Conferences |
Online Access: | https://doi.org/10.1051/matecconf/201712403001 |
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doaj-005551cd2310447d9de4f009ec5b81d82021-02-02T01:18:22ZengEDP SciencesMATEC Web of Conferences2261-236X2017-01-011240300110.1051/matecconf/201712403001matecconf_ictte2017_03001Design of a Multi-layer Lane-Level Map for Vehicle Route PlanningLiu ChaoranJiang KunYang DiangeXiao ZhongyangWith the development of intelligent transportation system, there occurs further demand for high precision localization and route planning, and simultaneously the traditional road-level map fails to meet with this requirement, by which this paper is motivated. In this paper, t he three-layer lane-level map architecture for vehicle path guidance is established, and the mathematical models of road-level layer, intermediate layer and lane-level layer are designed considering efficiency and precision. The geometric model of the lane-level layer of the map is characterized by Cubic Hermite Spline for continuity. A method of generating the lane geometry with fixed and variable control points is proposed, which can effectively ensure the accuracy with limited num ber of control points. In experimental part, a multi-layer map of an intersection is built to validate the map model, and an example of a local map was generated with the lane-level geometry.https://doi.org/10.1051/matecconf/201712403001 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Liu Chaoran Jiang Kun Yang Diange Xiao Zhongyang |
spellingShingle |
Liu Chaoran Jiang Kun Yang Diange Xiao Zhongyang Design of a Multi-layer Lane-Level Map for Vehicle Route Planning MATEC Web of Conferences |
author_facet |
Liu Chaoran Jiang Kun Yang Diange Xiao Zhongyang |
author_sort |
Liu Chaoran |
title |
Design of a Multi-layer Lane-Level Map for Vehicle Route Planning |
title_short |
Design of a Multi-layer Lane-Level Map for Vehicle Route Planning |
title_full |
Design of a Multi-layer Lane-Level Map for Vehicle Route Planning |
title_fullStr |
Design of a Multi-layer Lane-Level Map for Vehicle Route Planning |
title_full_unstemmed |
Design of a Multi-layer Lane-Level Map for Vehicle Route Planning |
title_sort |
design of a multi-layer lane-level map for vehicle route planning |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2017-01-01 |
description |
With the development of intelligent transportation system, there occurs further demand for high precision localization and route planning, and simultaneously the traditional road-level map fails to meet with this requirement, by which this paper is motivated. In this paper, t he three-layer lane-level map architecture for vehicle path guidance is established, and the mathematical models of road-level layer, intermediate layer and lane-level layer are designed considering efficiency and precision. The geometric model of the lane-level layer of the map is characterized by Cubic Hermite Spline for continuity. A method of generating the lane geometry with fixed and variable control points is proposed, which can effectively ensure the accuracy with limited num ber of control points. In experimental part, a multi-layer map of an intersection is built to validate the map model, and an example of a local map was generated with the lane-level geometry. |
url |
https://doi.org/10.1051/matecconf/201712403001 |
work_keys_str_mv |
AT liuchaoran designofamultilayerlanelevelmapforvehiclerouteplanning AT jiangkun designofamultilayerlanelevelmapforvehiclerouteplanning AT yangdiange designofamultilayerlanelevelmapforvehiclerouteplanning AT xiaozhongyang designofamultilayerlanelevelmapforvehiclerouteplanning |
_version_ |
1724311998782504960 |