| Presentation | 2020-03-09 State Recognition with In-Cabin Monitoring using Deep Learning Ryo Kidoguchi, Soichiro Yokoyama, Tomohisa Yamashita, Hidenori Kawamura, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we developed a state recognition system in a bus car that applied the object detection algorithm YOLO to support the bus operation ensuring passenger safety. The proposed system recognizes the number of passengers, the seating state, and the presence or absence of large luggage. In addition, in order to alert the passengers moving while traveling, it is determined whether the bus is in a good condition to start using the recognition result. The validity of the system was confirmed by the simulation environment inside the bus and the data acquired inside the bus actually running. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | In-Cabin Monitoring / deep learning |
| Paper # | AI2019-58 |
| Date of Issue | 2020-03-01 (AI) |
| Conference Information | |
| Committee | AI / IPSJ-ICS / JSAI-SAI / JSAI-DOCMAS / JSAI-KBS |
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| Conference Date | 2020/3/8(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Workshop of Social System and Information Technology (WSSIT20) |
| Chair | Naoki Fukuta(Shizuoka Univ.) |
| Vice Chair | Yuichi Sei(Univ. of Electro-Comm.) / Yuko Sakurai(AIST) |
| Secretary | Yuichi Sei(Osaka Univ.) / Yuko Sakurai(Tokyo Univ. of Agriculture and Technology) |
| Assistant | |
| Paper Information | |
| Registration To | Technical Committee on Artificial Intelligence and Knowledge-Based Processing / Special Interest Group on Intelligence and Complex Systems / Special Interest Group on Society and Artificial Intelligence / Special Interest Group on Data Oriented Constructive Mining and Simulation / Special Interest Group on Knowledge-Based Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | State Recognition with In-Cabin Monitoring using Deep Learning |
| Sub Title (in English) | |
| Keyword(1) | In-Cabin Monitoring |
| Keyword(2) | deep learning |
| 1st Author's Name | Ryo Kidoguchi |
| 1st Author's Affiliation | Hokkaido University(Hokudai) |
| 2nd Author's Name | Soichiro Yokoyama |
| 2nd Author's Affiliation | Hokkaido University(Hokudai) |
| 3rd Author's Name | Tomohisa Yamashita |
| 3rd Author's Affiliation | Hokkaido University(Hokudai) |
| 4th Author's Name | Hidenori Kawamura |
| 4th Author's Affiliation | Hokkaido University(Hokudai) |
| Date | 2020-03-09 |
| Paper # | AI2019-58 |
| Volume (vol) | vol.119 |
| Number (no) | AI-469 |
| Page | pp.pp.25-30(AI), |
| #Pages | 6 |
| Date of Issue | 2020-03-01 (AI) |