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| Paper Abstract and Keywords | ||
| Presentation | 2022-02-28 15:20 Responsibility Assessment in Crossroad Accident Using Object Recognition and Knowledge System Yawovi Agbewonou Helton, Kikuchi Masato, Ozono Tadachika (NITech)  AI2021-22 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Car crashes are increasing year by year, and they represent the side effect of the increasing number of vehicles in the modern world. Usually, vehicle collisions lead to injuries and deaths, with a devastating impact on victims and their relatives. After a crash, the police have to investigate to know the circumstances of the incident and determine each actor’s responsibility. The police need support systems to conduct these investigations more efficiently. In this work, we realized a system that helps evaluate each actor’s responsibility in a crossroad crash. We proposed a heuristic approach that can evaluate actors’ responsibilities when a crash occurs, thanks to the usage of the driving recorder video of the crash as the data source. The system uses the crash video as the input data source and outputs the evaluation of each actor’s responsibility in the crash. It consists of three agents: (1) Crash time detection and crash video split into images; (2) Traffic sign detection in the crash video; (3) Responsibility evaluation using a knowledge system. In this paper, we describe our system, evaluate it through experiments, and list our current improvement tasks. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Crossroad car crash / Knowledge system / Machine learning / Object detection / Responsibility evaluation / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 382, AI2021-22, pp. 59-64, Feb. 2022. | |
| Paper # | AI2021-22 | |
| Date of Issue | 2022-02-21 (AI) | |
| 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 | AI2021-22 |
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| Conference Information | |
| Committee | AI |
| Conference Date | 2022-02-28 - 2022-02-28 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Youth Hostel Sunflower MIYAZAKI |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | AI |
| Conference Code | 2022-02-AI |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Responsibility Assessment in Crossroad Accident Using Object Recognition and Knowledge System |
| Sub Title (in English) | |
| Keyword(1) | Crossroad car crash |
| Keyword(2) | Knowledge system |
| Keyword(3) | Machine learning |
| Keyword(4) | Object detection |
| Keyword(5) | Responsibility evaluation |
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| 1st Author's Name | Yawovi Agbewonou Helton |
| 1st Author's Affiliation | Nagoya Institute of Technology (NITech) |
| 2nd Author's Name | Kikuchi Masato |
| 2nd Author's Affiliation | Nagoya Institute of Technology (NITech) |
| 3rd Author's Name | Ozono Tadachika |
| 3rd Author's Affiliation | Nagoya Institute of Technology (NITech) |
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| Speaker | Author-1 |
| Date Time | 2022-02-28 15:20:00 |
| Presentation Time | 20 minutes |
| Registration for | AI |
| Paper # | AI2021-22 |
| Volume (vol) | vol.121 |
| Number (no) | no.382 |
| Page | pp.59-64 |
| #Pages | 6 |
| Date of Issue | 2022-02-21 (AI) |
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