| Presentation | 2021-07-08 Imaging of snow accretion with various infrared sensors and detection by machine learning when the LED traffic light is on/off and the day and night Yuta Miura, Yukino Seki, Hiroki Kawasaki, Yuxuan Wang, Tsubasa Saito, Yuichi Sato, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, with the spread of light emitting diodes (LEDs), the use of LEDs for road indicators is progressing. However, LEDs generate less heat than conventional incandescent light bulbs, and the risk of traffic accidents due to the effects of snow accretion on the signal display is regarded as a problem. From the above background, we are studying a snow accretion removal system for signal lights. From previous research, we have confirmed that by using various infrared array sensors for monitoring under the same conditions that are not affected by the on / off of signal lights and day/night. In this study, in addition to these, we examined the recognition of snow accretion conditions using deep learning, in order to provide accurate feedback to the system for snow accretion removal. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | LED / bolometer / thermopile / CMOS / deep learning / YOLO |
| Paper # | ICTSSL2021-10 |
| Date of Issue | 2021-07-01 (ICTSSL) |
| Conference Information | |
| Committee | ICTSSL |
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| Conference Date | 2021/7/8(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Koichi Gyoda(Shibaura Inst. of Tech.) |
| Vice Chair | Munenari Inoguchi(Toyama Univ.) / Tomotaka Wada(Kansai Univ.) |
| Secretary | Munenari Inoguchi(Synspective) / Tomotaka Wada(Hiroshima City Univ.) |
| Assistant | Shunichi Yokoyama(Shinshu Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Information and Communication Technologies for Safe and Secure Life |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Imaging of snow accretion with various infrared sensors and detection by machine learning when the LED traffic light is on/off and the day and night |
| Sub Title (in English) | |
| Keyword(1) | LED |
| Keyword(2) | bolometer |
| Keyword(3) | thermopile |
| Keyword(4) | CMOS |
| Keyword(5) | deep learning |
| Keyword(6) | YOLO |
| 1st Author's Name | Yuta Miura |
| 1st Author's Affiliation | Akita University(Akita Univ.) |
| 2nd Author's Name | Yukino Seki |
| 2nd Author's Affiliation | Akita University(Akita Univ.) |
| 3rd Author's Name | Hiroki Kawasaki |
| 3rd Author's Affiliation | Akita University(Akita Univ.) |
| 4th Author's Name | Yuxuan Wang |
| 4th Author's Affiliation | Akita University(Akita Univ.) |
| 5th Author's Name | Tsubasa Saito |
| 5th Author's Affiliation | Akita University(Akita Univ.) |
| 6th Author's Name | Yuichi Sato |
| 6th Author's Affiliation | Akita University(Akita Univ.) |
| Date | 2021-07-08 |
| Paper # | ICTSSL2021-10 |
| Volume (vol) | vol.121 |
| Number (no) | ICTSSL-97 |
| Page | pp.pp.12-16(ICTSSL), |
| #Pages | 5 |
| Date of Issue | 2021-07-01 (ICTSSL) |