Presentation | 2023-06-20 Development and evaluation of a dangerous behavior detection system at station platforms utilizing 3D LiDAR Yusuke Koyama, Hiroshi Yamamoto, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Many accidents occur on railroads although many railroad companies have proposed the measures against the accidents. For example, the companies have installed the platform doors to prevent the accidents, but it requires high cost (about 300 million yen) for each station to prepare the doors in an entire station. On the other hand, it has been clarified that the person who has a possibility to occur the accident (e.g., falling down from the station platform) takes special actions that are predictive of the accident. By specifying the actions in real time, there is a possibility of preventing the accidents. Therefore, in this study, we attempt to develop a new system that observes the behaviors of people on the station platform by analyzing 3D point cloud data taken by 3D LiDAR (Light Detection And Ranging) that can accurately measure the distance, position, and shape of the target object. The proposed system does not have privacy issues because only 3D point cloud data is a target of the analysis. In addition, this system adopts a system design of the edge computing where the sensor nodes not only obtain the point cloud data from the LiDAR but also identifies the behaviors of the people by analyzing the data. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | IoT / railroad accident prevention / 3D LiDAR / 3D point cloud analysis / behavior estimation |
Paper # | IA2023-3,ICSS2023-3 |
Date of Issue | 2023-06-13 (IA, ICSS) |
Conference Information | |
Committee | IA / ICSS |
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Conference Date | 2023/6/20(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Saga Univ. |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Internet Security, etc. |
Chair | Toyokazu Akiyama(Kyoto Sangyo Univ.) / Katsunari Yoshioka(Yokohama National Univ.) |
Vice Chair | Yusuke Sakumoto(Kwansei Gakuin Univ.) / Toshiki Watanabe(NEC) / Yuichiro Hei(KDDI) / Takahiro Kasama(NICT) / Akira Yamada(KDDI labs.) |
Secretary | Yusuke Sakumoto(Osaka Univ.) / Toshiki Watanabe(Kogakuin Univ.) / Yuichiro Hei(Kyushu Inst. of Tech.) / Takahiro Kasama(Okayama Univ.) / Akira Yamada(Mitsubishi Electric) |
Assistant | Daisuke Kotani(Kyoto Univ.) / Ryo Nakamura(Fukuoka Univ.) / Ryo Nakamura(Univ. of Tokyo) / Takeshi Sugawara(Univ. of Electro-Comm.) / Yo Kanemoto(NTT) |
Paper Information | |
Registration To | Technical Committee on Internet Architecture / Technical Committee on Information and Communication System Security |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Development and evaluation of a dangerous behavior detection system at station platforms utilizing 3D LiDAR |
Sub Title (in English) | |
Keyword(1) | IoT |
Keyword(2) | railroad accident prevention |
Keyword(3) | 3D LiDAR |
Keyword(4) | 3D point cloud analysis |
Keyword(5) | behavior estimation |
1st Author's Name | Yusuke Koyama |
1st Author's Affiliation | Ritsumeikan University(Ritsumeikan Univ.) |
2nd Author's Name | Hiroshi Yamamoto |
2nd Author's Affiliation | Ritsumeikan University(Ritsumeikan Univ.) |
Date | 2023-06-20 |
Paper # | IA2023-3,ICSS2023-3 |
Volume (vol) | vol.123 |
Number (no) | IA-85,ICSS-86 |
Page | pp.pp.13-18(IA), pp.13-18(ICSS), |
#Pages | 6 |
Date of Issue | 2023-06-13 (IA, ICSS) |