| 题名 | Spatiotemporal Co-Attention Hybrid Neural Network for Pedestrian Localization Based on 6D IMU |
| 作者 | |
| 通讯作者 | Meng, Max Q-H |
| 发表日期 | 2022
|
| DOI | |
| 发表期刊 | |
| ISSN | 1558-3783
|
| 卷号 | PP期号:99页码:1-13 |
| 关键词 | |
| 相关链接 | [IEEE记录] |
| 收录类别 | |
| 学校署名 | 通讯
|
| WOS记录号 | WOS:000785782800001
|
| EI入藏号 | 20221712037257
|
| EI主题词 | Deep neural networks
; Feature extraction
; Long short-term memory
; Robots
|
| EI分类号 | Ergonomics and Human Factors Engineering:461.4
; Information Theory and Signal Processing:716.1
; Robotics:731.5
|
| 来源库 | IEEE
|
| 全文链接 | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9758060 |
| 引用统计 |
被引频次[WOS]：7
|
| 成果类型 | 期刊论文 |
| 条目标识符 | http://kc.sustech.edu.cn/handle/2SGJ60CL/333467 |
| 专题 | 工学院_电子与电气工程系 |
| 作者单位 | 1.Chinese Univ Hong Kong, Dept Elect Engn, Robot Percept & Artificial Intelligence Lab, Hong Kong, Peoples R China 2.Southern Univ Sci & Technol, Shenzhen Key Lab Robot Percept & Intelligence, Shenzhen 518055, Peoples R China 3.Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen 518055, Peoples R China 4.Chinese Univ Hone Kong, Shenzhen Res Inst, Shenzhen 518057, Peoples R China |
| 通讯作者单位 | 南方科技大学; 电子与电气工程系 |
| 推荐引用方式 GB/T 7714 |
Wang, Yingying,Cheng, Hu,Meng, Max Q-H. Spatiotemporal Co-Attention Hybrid Neural Network for Pedestrian Localization Based on 6D IMU[J]. IEEE Transactions on Automation Science and Engineering,2022,PP(99):1-13.
|
| APA |
Wang, Yingying,Cheng, Hu,&Meng, Max Q-H.(2022).Spatiotemporal Co-Attention Hybrid Neural Network for Pedestrian Localization Based on 6D IMU.IEEE Transactions on Automation Science and Engineering,PP(99),1-13.
|
| MLA |
Wang, Yingying,et al."Spatiotemporal Co-Attention Hybrid Neural Network for Pedestrian Localization Based on 6D IMU".IEEE Transactions on Automation Science and Engineering PP.99(2022):1-13.
|
| 条目包含的文件 | 条目无相关文件。 | |||||
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