| Presentation | 2022-01-20 On the Improvement of Recognition Accuracy of Road Sign Identification CNN using Flux and the Consideration of building RCNN Jihang Chang, Kazuya Ozawa, Hideaki Okazaki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this report，we discuss how to improve the recognition accuracy of a neural network for recognizing traffic signs using Flux and how to construct an R-CNN．First，we briefly explain about convolutional neural networks．Secondly，we explain the experimental results of improving the recognition accuracy of CNN．Thirdly，we explain the progress of the construction of R-CNN．Finally，we summarize the concluding remarks and the future research． |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Convolutional neural network / Traffic Signs / Flux / R-CNN |
| Paper # | CAS2021-60,ICTSSL2021-37 |
| Date of Issue | 2022-01-13 (CAS, ICTSSL) |
| Conference Information | |
| Committee | ICTSSL / CAS |
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| Conference Date | 2022/1/20(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Koichi Gyoda(Shibaura Inst. of Tech.) / Hiroki Sato(Sony LSI Design) |
| Vice Chair | Munenari Inoguchi(Toyama Univ.) / Tomotaka Wada(Kansai Univ.) / Yoshinobu Maeda(Niigata Univ.) |
| Secretary | Munenari Inoguchi(Synspective) / Tomotaka Wada(Hiroshima City Univ.) / Yoshinobu Maeda(Sony LSI Design) |
| Assistant | Shunichi Yokoyama(Shinshu Univ.) / Motoi Yamaguchi(TECHNOPRO) / Yohei Nakamura(Hitachi) / Takahide Sato(Univ. of Yamanashi) / Yasutoshi Aibara(Murata Manufacturing) |
| Paper Information | |
| Registration To | Technical Committee on Information and Communication Technologies for Safe and Secure Life / Technical Committee on Circuits and Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | On the Improvement of Recognition Accuracy of Road Sign Identification CNN using Flux and the Consideration of building RCNN |
| Sub Title (in English) | |
| Keyword(1) | Convolutional neural network |
| Keyword(2) | Traffic Signs |
| Keyword(3) | Flux |
| Keyword(4) | R-CNN |
| 1st Author's Name | Jihang Chang |
| 1st Author's Affiliation | Shonan Institute of Technology(SIT) |
| 2nd Author's Name | Kazuya Ozawa |
| 2nd Author's Affiliation | Shonan Institute of Technology(SIT) |
| 3rd Author's Name | Hideaki Okazaki |
| 3rd Author's Affiliation | Shonan Institute of Technology(SIT) |
| Date | 2022-01-20 |
| Paper # | CAS2021-60,ICTSSL2021-37 |
| Volume (vol) | vol.121 |
| Number (no) | CAS-325,ICTSSL-326 |
| Page | pp.pp.37-40(CAS), pp.37-40(ICTSSL), |
| #Pages | 4 |
| Date of Issue | 2022-01-13 (CAS, ICTSSL) |