| Paper Abstract and Keywords |
| Presentation |
2023-03-13 16:20
Prediction of the Future Location of a Vehicle captured from the Dashboard Camera using Instance Segmentation Koki Ikeda, Takumi Uemura, Shuichi Ojima (Sojo Univ.) ITS2022-83 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In recent years, the development of automated driving has been active in the automated driving industry, and Level 3 and Level 4 automated driving is being developed all over the world. However, there are still various issues to be solved to enable automated driving on public roads, and among them, we deal with location prediction research of surrounding vehicles using dashboard cameras. The Future Object Localization (FOL) model, which is a conventional vehicle location prediction model, has a problem in that the predicted location is shifted for intersecting objects. In this paper, we propose a new model using instance segmentation to solve this problem. We also report the results of a comparison with conventional methods. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Instance Segmentation / Optical Flow / Dashboard Camera / Vehicle Location Prediction / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 122, no. 426, ITS2022-83, pp. 22-27, March 2023. |
| Paper # |
ITS2022-83 |
| Date of Issue |
2023-03-06 (ITS) |
| 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 |
ITS2022-83 |
| Conference Information |
| Committee |
ITS IEE-ITS |
| Conference Date |
2023-03-13 - 2023-03-13 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Nihon Univ., Funabashi Campus |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Information Processing for ITS, etc. |
| Paper Information |
| Registration To |
ITS |
| Conference Code |
2023-03-ITS-ITS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Prediction of the Future Location of a Vehicle captured from the Dashboard Camera using Instance Segmentation |
| Sub Title (in English) |
|
| Keyword(1) |
Instance Segmentation |
| Keyword(2) |
Optical Flow |
| Keyword(3) |
Dashboard Camera |
| Keyword(4) |
Vehicle Location Prediction |
| Keyword(5) |
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| Keyword(6) |
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| 1st Author's Name |
Koki Ikeda |
| 1st Author's Affiliation |
Sojo University (Sojo Univ.) |
| 2nd Author's Name |
Takumi Uemura |
| 2nd Author's Affiliation |
Sojo University (Sojo Univ.) |
| 3rd Author's Name |
Shuichi Ojima |
| 3rd Author's Affiliation |
Sojo University (Sojo Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2023-03-13 16:20:00 |
| Presentation Time |
25 minutes |
| Registration for |
ITS |
| Paper # |
ITS2022-83 |
| Volume (vol) |
vol.122 |
| Number (no) |
no.426 |
| Page |
pp.22-27 |
| #Pages |
6 |
| Date of Issue |
2023-03-06 (ITS) |