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| Presentation | 2019-03-05 16:00 Prediction Method for Position of Uncontrollable Vehicle Based on Bayesian Inference in Network-Assisted Autonomous Driving Platform Yuya Taniguchi, Yoshiki Aoki, Satoru Okamoto, Naoaki Yamanaka (Keio Univ.)  NS2018-285 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent research, network-assisted autonomous driving vehicle is proposed, which means that autonomous driving is controlled via network with cloud computing and edge computing. Cyber-physical systems in conventional works assume that cyber spaces can always support all controlled targets and the support should be continuous. However, in real system, there should occur network disconnection due to equipment trouble or packet losses, and parts of controlled targets can be separated from cyber space and its control. In this thesis, assuming that one autonomous driving vehicle is disconnected from network, a prediction method for disconnected vehicle position is proposed. Position prediction can be realized by Bayesian inference with sensor data from controllable autonomous driving vehicles and sensors which locate around a road. Implementation of the proposal and experiment result are evaluated. According to the result of our experiment, We confirm that the position of the disconnected vehicle can be predicted and the accuracy is on the order of tens of meters even with the only single camera. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Cyber-Physical System / Autonomous Driving Vehicle / Bayesian Inference / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 465, NS2018-285, pp. 527-532, March 2019. | |
| Paper # | NS2018-285 | |
| Date of Issue | 2019-02-25 (NS) | |
| 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 | NS2018-285 |
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| Conference Information | |
| Committee | IN NS |
| Conference Date | 2019-03-04 - 2019-03-05 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Convention Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Paper Information | |
| Registration To | NS |
| Conference Code | 2019-03-IN-NS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Prediction Method for Position of Uncontrollable Vehicle Based on Bayesian Inference in Network-Assisted Autonomous Driving Platform |
| Sub Title (in English) | |
| Keyword(1) | Cyber-Physical System |
| Keyword(2) | Autonomous Driving Vehicle |
| Keyword(3) | Bayesian Inference |
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| 1st Author's Name | Yuya Taniguchi |
| 1st Author's Affiliation | Keio University (Keio Univ.) |
| 2nd Author's Name | Yoshiki Aoki |
| 2nd Author's Affiliation | Keio University (Keio Univ.) |
| 3rd Author's Name | Satoru Okamoto |
| 3rd Author's Affiliation | Keio University (Keio Univ.) |
| 4th Author's Name | Naoaki Yamanaka |
| 4th Author's Affiliation | Keio University (Keio Univ.) |
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| Speaker | Author-1 |
| Date Time | 2019-03-05 16:00:00 |
| Presentation Time | 20 minutes |
| Registration for | NS |
| Paper # | NS2018-285 |
| Volume (vol) | vol.118 |
| Number (no) | no.465 |
| Page | pp.527-532 |
| #Pages | 6 |
| Date of Issue | 2019-02-25 (NS) |
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