| Presentation | 2022-12-14 Vehicle Route Detection Network Using Continuous Roadside Units Gunhee Cho, Tao Yu, Jin Nakazato, Kei Sakaguchi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | For the purpose of establishing a digital twin society, this paper proposes an object recognition network architecture using high-definition (HD) camera images.HD camera is installed to the edge computing resource in Road-Side Unit (RSU).The edge computing resource detects vehicles by object detection and Re-ID function based on deep learning. Its key feature is to reduce the amount of network data traffic by extracting vehicle images and directly transferring them to neighboring RSUs, i.e. vehicle identification and tracking can be achieved in the localized backhaul network. This paper experimentally verifies its fundamental feasibility using outdoor testbed field. The proposed framework can significantly reduce the data traffic by more than 90% while maintaining vehicle Re-ID accuracy. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | V2X / Image Processing / Re-Identification of Vehicle / Traffic Reduction / Edge Computing / ITS / RSU / Proof-of-Concept |
| Paper # | WBS2022-55,ITS2022-31,RCC2022-55 |
| Date of Issue | 2022-12-06 (WBS, ITS, RCC) |
| Conference Information | |
| Committee | RCC / ITS / WBS |
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| Conference Date | 2022/12/13(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Ritsumeikan Univ. BKC |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Shunichi Azuma(Nagoya Univ.) / Masahiro Fujii(Utsunomiya Univ.) / Takashi Shono(INTEL) |
| Vice Chair | Shunichi Azuma(Hokkaido Univ.) / Koji Ishii(Kagawa Univ.) / Kohei Ohno(Meiji Univ.) / Naohisa Hashimoto(AIST) / Hiroyasu Ishikawa(Nihon Univ.) / Hideki Ochiai(Yokohama National Univ.) |
| Secretary | Shunichi Azuma(CRIEPI) / Koji Ishii(Ritsumeikan Univ.) / Kohei Ohno(Toyama Prefectural Univ.) / Naohisa Hashimoto(NIT, Tsuruoka College) / Hiroyasu Ishikawa(Okayama Prefectural Univ.) / Hideki Ochiai(Chiba Univ. of Tech.) |
| Assistant | SHAN LIN(NICT) / Ryosuke Adachi(Yamaguchi Univ.) / Msataka Imao(Mitsubishi Electric) / Taishi Swabe(NAIST) / Keiji Jimi(Gunma Univ.) / Sun Ran(Ibaraki Univ.) / Chen Na(NAIST) |
| Paper Information | |
| Registration To | Technical Committee on Reliable Communication and Control / Technical Committee on Intelligent Transport Systems Technology / Technical Committee on Wideband System |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Vehicle Route Detection Network Using Continuous Roadside Units |
| Sub Title (in English) | |
| Keyword(1) | V2X |
| Keyword(2) | Image Processing |
| Keyword(3) | Re-Identification of Vehicle |
| Keyword(4) | Traffic Reduction |
| Keyword(5) | Edge Computing |
| Keyword(6) | ITS |
| Keyword(7) | RSU |
| Keyword(8) | Proof-of-Concept |
| 1st Author's Name | Gunhee Cho |
| 1st Author's Affiliation | Tokyo Institute of Technology(TokyoTech) |
| 2nd Author's Name | Tao Yu |
| 2nd Author's Affiliation | Tokyo Institute of Technology(TokyoTech) |
| 3rd Author's Name | Jin Nakazato |
| 3rd Author's Affiliation | Tokyo Institute of Technology(TokyoTech) |
| 4th Author's Name | Kei Sakaguchi |
| 4th Author's Affiliation | Tokyo Institute of Technology(TokyoTech) |
| Date | 2022-12-14 |
| Paper # | WBS2022-55,ITS2022-31,RCC2022-55 |
| Volume (vol) | vol.122 |
| Number (no) | WBS-307,ITS-308,RCC-309 |
| Page | pp.pp.114-119(WBS), pp.114-119(ITS), pp.114-119(RCC), |
| #Pages | 6 |
| Date of Issue | 2022-12-06 (WBS, ITS, RCC) |