| Presentation | 2022-02-28 Responsibility Assessment in Crossroad Accident Using Object Recognition and Knowledge System Yawovi Agbewonou Helton, Kikuchi Masato, Ozono Tadachika, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | Crossroad car crash / Knowledge system / Machine learning / Object detection / Responsibility evaluation |
| Paper # | AI2021-22 |
| Date of Issue | 2022-02-21 (AI) |
| Conference Information | |
| Committee | AI |
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| Conference Date | 2022/2/28(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Youth Hostel Sunflower MIYAZAKI |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Yuichi Sei(Univ. of Electro-Comm.) |
| Vice Chair | Yuko Sakurai(AIST) / Tadachika Ozono(Nagoya Inst. of Tech.) |
| Secretary | Yuko Sakurai(Tokyo Univ. of Agriculture and Technology) / Tadachika Ozono(Toho Univ.) |
| Assistant | Kazutaka Matsuzaki(Chuo Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Artificial Intelligence and Knowledge-Based Processing |
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| Language | ENG |
| 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 |
| 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) |
| Date | 2022-02-28 |
| Paper # | AI2021-22 |
| Volume (vol) | vol.121 |
| Number (no) | AI-382 |
| Page | pp.pp.59-64(AI), |
| #Pages | 6 |
| Date of Issue | 2022-02-21 (AI) |