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| Presentation | 2022-03-10 10:15 Safety risk analysis and evaluation method for DNN system in autonomous driving Tomoko Kaneko, Yuji Takahashi (NII), Shinichi Yamaguchi (SDM), Junji Hashimoto (GREE), Nobukazu Yoshioka (Soudai)  KBSE2021-51 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | There is a great concern about the quality of current AI, especially DNN (deep learning), especially about its safety and reliability. We have been investigating how to ensure the safety of DNNs by using risk management procedures for systems containing DNNs in the case of automated driving. In this paper, we present the whole picture in the form of an argument, and show in detail the problems, methods for solving them, and their significance in each procedure. The system level safety analysis is connected to the development of individual DNN models, and each DNN model development process is improved to connect to the improvement technology of DNN itself. By this method, we aim to build a system that can repeat the improvement of DNN. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | AI / DNN / Safety / Risk Management / Safety Argumentation / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 424, KBSE2021-51, pp. 60-65, March 2022. | |
| Paper # | KBSE2021-51 | |
| Date of Issue | 2022-03-02 (KBSE) | |
| 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 | KBSE2021-51 |
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| Conference Information | |
| Committee | KBSE |
| Conference Date | 2022-03-09 - 2022-03-10 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online (Zoom) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General, Student |
| Paper Information | |
| Registration To | KBSE |
| Conference Code | 2022-03-KBSE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Safety risk analysis and evaluation method for DNN system in autonomous driving |
| Sub Title (in English) | |
| Keyword(1) | AI |
| Keyword(2) | DNN |
| Keyword(3) | Safety |
| Keyword(4) | Risk Management |
| Keyword(5) | Safety Argumentation |
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| Keyword(8) | |
| 1st Author's Name | Tomoko Kaneko |
| 1st Author's Affiliation | National Institute of Informatics (NII) |
| 2nd Author's Name | Yuji Takahashi |
| 2nd Author's Affiliation | National Institute of Informatics (NII) |
| 3rd Author's Name | Shinichi Yamaguchi |
| 3rd Author's Affiliation | Keio University SDM Research Center (SDM) |
| 4th Author's Name | Junji Hashimoto |
| 4th Author's Affiliation | GREE (GREE) |
| 5th Author's Name | Nobukazu Yoshioka |
| 5th Author's Affiliation | Waseda University (Soudai) |
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| Speaker | Author-1 |
| Date Time | 2022-03-10 10:15:00 |
| Presentation Time | 30 minutes |
| Registration for | KBSE |
| Paper # | KBSE2021-51 |
| Volume (vol) | vol.121 |
| Number (no) | no.424 |
| Page | pp.60-65 |
| #Pages | 6 |
| Date of Issue | 2022-03-02 (KBSE) |
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