| Presentation | 2021-09-08 Development and Evaluation of an Abnormal Condition Detection System during Snow Removal Operations based on Behavioral Sensing of Operators Kenya Sugimoto, Hiroshi Yamamoto, Yoshinori Kitatsuji, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Snow removal operations by snowplows in Japan's snowy and cold regions play an important role for securing social activities and transportation of local residents. In order to prevent traffic accidents and to provide safety for local residents, it is necessary to perform the snow removal operation as efficiently as possible at night when there is less traffic. However, in regions such as Hakuba Village in Nagano Prefecture where many tourists visit during the winter for skiing and other activities, there are situations where the operation must be suspended at night due to car and pedestrian traffic. In order to improve the efficiency of snow removal operations, it is necessary to take measures such as temporarily restricting traffic of cars and pedestrians by quantitatively identifying the areas where such situations are likely to occur. In our study, we develop a system to detect occurrence of the abnormal conditions during snow removal operations and identify the locations where such conditions are likely to occur so that the operators can operate more efficiently in snow removal operations. The proposed system uses an infrared camera and a depth camera which can observe the motion to steer the snowplow by the operator at night by taking pictures of the handle and lever operated and by accurately estimating the motion. Next, we propose a method to identify the date, time, and location that the characteristics of the snow removal operations are much different from the usual ones by analyzing the time-series data of the motion to steer. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | snow removal support / maneuverability analysis / image processing / infrared camera / depth camera |
| Paper # | IA2021-19 |
| Date of Issue | 2021-09-01 (IA) |
| Conference Information | |
| Committee | IA |
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| Conference Date | 2021/9/8(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Internet Operation and Management, etc. |
| Chair | Tomoki Yoshihisa(Osaka Univ.) |
| Vice Chair | Toru Kondo(Hiroshima Univ.) / Yuichiro Hei(KDDI Research) / Hiroshi Yamamoto(Ritsumeikan Univ.) |
| Secretary | Toru Kondo(Osaka Univ.) / Yuichiro Hei(Kogakuin Univ.) / Hiroshi Yamamoto(NEC) |
| Assistant | Daisuke Kotani(Kyoto Univ.) / Ryo Nakamurai(Fukuoka Univ.) / Daiki Nobayashi(Kyushu Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Internet Architecture |
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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 an Abnormal Condition Detection System during Snow Removal Operations based on Behavioral Sensing of Operators |
| Sub Title (in English) | |
| Keyword(1) | snow removal support |
| Keyword(2) | maneuverability analysis |
| Keyword(3) | image processing |
| Keyword(4) | infrared camera |
| Keyword(5) | depth camera |
| 1st Author's Name | Kenya Sugimoto |
| 1st Author's Affiliation | Ritsumeikan University(Ritsumeikan Univ.) |
| 2nd Author's Name | Hiroshi Yamamoto |
| 2nd Author's Affiliation | Ritsumeikan University(Ritsumeikan Univ.) |
| 3rd Author's Name | Yoshinori Kitatsuji |
| 3rd Author's Affiliation | KDDI Research, Inc.(KDDI Research, Inc.) |
| Date | 2021-09-08 |
| Paper # | IA2021-19 |
| Volume (vol) | vol.121 |
| Number (no) | IA-167 |
| Page | pp.pp.29-35(IA), |
| #Pages | 7 |
| Date of Issue | 2021-09-01 (IA) |