| Paper Abstract and Keywords |
| Presentation |
2021-01-21 13:20
A Vehicle Position Estimation Method for Highway Merging Support Using Vehicle-to-Infrastructure Communications Shunya Yamada, Yousuke Watanabe (Nagoya Univ.), Tatsuya Tokui (NTT DATA MSE), Kenya Sato (Doshisha Univ.), Hiroaki Takada (Nagoya Univ.) SeMI2020-51 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Accurate vehicle position and velocity information are necessary in managing merging at a highway junction, but existing sensors have both advantages and disadvantages. Roadside vehicle detectors are very accurate, but only available at fixed points. By contrast, in-vehicle sensors can be used anywhere except in tunnels, but are less accurate. In this paper, we propose a vehicle position estimation method that combines roadside vehicle detector information and in-vehicle sensor information registered in Dynamic Map. We perform the evaluation using a dataset created based on the actual vehicle information in the simulations. The simulation experiment results show that our method can more accurately estimate the vehicle positions compared to that using data from either sensor alone. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Data Fusion / Vehicle-to-Infrastructure Communication / Dynamic Map / In-Vehicle Sensor / Roadside Sensor / ITS / / |
| Reference Info. |
IEICE Tech. Rep., vol. 120, no. 315, SeMI2020-51, pp. 45-50, Jan. 2021. |
| Paper # |
SeMI2020-51 |
| Date of Issue |
2021-01-13 (SeMI) |
| ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| Download PDF |
SeMI2020-51 |
| Conference Information |
| Committee |
SeMI |
| Conference Date |
2021-01-20 - 2021-01-21 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
SeMI |
| Conference Code |
2021-01-SeMI |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Vehicle Position Estimation Method for Highway Merging Support Using Vehicle-to-Infrastructure Communications |
| Sub Title (in English) |
|
| Keyword(1) |
Data Fusion |
| Keyword(2) |
Vehicle-to-Infrastructure Communication |
| Keyword(3) |
Dynamic Map |
| Keyword(4) |
In-Vehicle Sensor |
| Keyword(5) |
Roadside Sensor |
| Keyword(6) |
ITS |
| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Shunya Yamada |
| 1st Author's Affiliation |
Nagoya University (Nagoya Univ.) |
| 2nd Author's Name |
Yousuke Watanabe |
| 2nd Author's Affiliation |
Nagoya University (Nagoya Univ.) |
| 3rd Author's Name |
Tatsuya Tokui |
| 3rd Author's Affiliation |
NTT DATA MSE Corporation (NTT DATA MSE) |
| 4th Author's Name |
Kenya Sato |
| 4th Author's Affiliation |
Doshisha University (Doshisha Univ.) |
| 5th Author's Name |
Hiroaki Takada |
| 5th Author's Affiliation |
Nagoya University (Nagoya Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2021-01-21 13:20:00 |
| Presentation Time |
20 minutes |
| Registration for |
SeMI |
| Paper # |
SeMI2020-51 |
| Volume (vol) |
vol.120 |
| Number (no) |
no.315 |
| Page |
pp.45-50 |
| #Pages |
6 |
| Date of Issue |
2021-01-13 (SeMI) |