An improved position estimation algorithm of vehicles using semantic information of maps

Chang Gil Lee, Yoon Ho Choi, Jin Bae Park

Research output: Contribution to journalArticle

Abstract

In this paper, we propose a novel method for estimating a vehicle's current position, even on roads that have similar patterns. In the proposed method, we classified the semantic information of the nodes in detail and added the semantic information of the link to solve the problem due to similar and repeated patterns. We also improved the mapping method by comparing the result of the duplicated matching with that of the only matching obtained just before corresponding duplicated matching. From the simulation results, we verify that the performance of the proposed method is better than that of the existing method.

Original languageEnglish
Pages (from-to)753-758
Number of pages6
JournalJournal of Institute of Control, Robotics and Systems
Volume22
Issue number9
DOIs
Publication statusPublished - 2016 Jan 1

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Estimation Algorithms
Semantics
Verify
Vertex of a graph
Simulation

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Applied Mathematics

Cite this

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An improved position estimation algorithm of vehicles using semantic information of maps. / Lee, Chang Gil; Choi, Yoon Ho; Park, Jin Bae.

In: Journal of Institute of Control, Robotics and Systems, Vol. 22, No. 9, 01.01.2016, p. 753-758.

Research output: Contribution to journalArticle

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