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 language | English |
|---|---|
| Pages (from-to) | 753-758 |
| Number of pages | 6 |
| Journal | Journal of Institute of Control, Robotics and Systems |
| Volume | 22 |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - 2016 Jan 1 |
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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 journal › Article
TY - JOUR
T1 - An improved position estimation algorithm of vehicles using semantic information of maps
AU - Lee, Chang Gil
AU - Choi, Yoon Ho
AU - Park, Jin Bae
PY - 2016/1/1
Y1 - 2016/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84986215011&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84986215011&partnerID=8YFLogxK
U2 - 10.5302/J.ICROS.2016.16.0109
DO - 10.5302/J.ICROS.2016.16.0109
M3 - Article
AN - SCOPUS:84986215011
VL - 22
SP - 753
EP - 758
JO - Journal of Institute of Control, Robotics and Systems
JF - Journal of Institute of Control, Robotics and Systems
SN - 1976-5622
IS - 9
ER -