中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
自动化研究所 [3]
计算技术研究所 [2]
采集方式
OAI收割 [5]
内容类型
期刊论文 [5]
发表日期
2023 [1]
2022 [1]
2021 [1]
2019 [2]
学科主题
筛选
浏览/检索结果:
共5条,第1-5条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
题名升序
题名降序
提交时间升序
提交时间降序
作者升序
作者降序
发表日期升序
发表日期降序
Neural inertial navigation system on pedestrian
期刊论文
OAI收割
MEASUREMENT SCIENCE AND TECHNOLOGY, 2023, 卷号: 34, 期号: 10, 页码: 14
作者:
Huang, Fengrong
;
Gao, Min
;
Liu, Qinglin
;
Tang, Fulin
;
Wu, Yihong
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2023/11/17
localization
deep learning
pedestrian indoor navigation
IEKF
inertial navigation
Recent Advances in Pedestrian Inertial Navigation Based on Smartphone: A Review
期刊论文
OAI收割
IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 23, 页码: 22319-22343
作者:
Wang, Qu
;
Fu, Meixia
;
Wang, Jianquan
;
Luo, Haiyong
;
Sun, Lei
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2023/07/12
Indoor positioning
inertial navigation
pedestrian dead reckoning (PDR)
performance evaluation
Particle Filter Reinforcement via Context-Sensing for Smartphone-Based Pedestrian Dead Reckoning
期刊论文
OAI收割
IEEE COMMUNICATIONS LETTERS, 2021, 卷号: 25, 期号: 9, 页码: 3144-3148
作者:
Shao, Wenhua
;
Zhao, Fang
;
Luo, Haiyong
;
Tian, Hui
;
Li, Jiaxin
  |  
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2021/12/01
Particle filters
Neural networks
Reinforcement learning
Mathematical model
Particle measurements
Estimation
Atmospheric measurements
Indoor location tracking
particle filter
pedestrian dead reckoning
reinforcement learning
smartphone-based navigation
A Survey of the Research Status of Pedestrian Dead Reckoning Systems Based on Inertial Sensors
期刊论文
OAI收割
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 65-83
作者:
Wu, Yuan
;
Zhu, Haibing
;
Du, Qingxiu
;
Tang, Shuming
  |  
收藏
  |  
浏览/下载:220/0
  |  
提交时间:2019/05/04
Inertial Measurement Unit (Imu)
Pedestrian Dead-reckoning
Indoor Navigation
Technical Route
General Framework
A Survey of the Research Status of Pedestrian Dead Reckoning Systems Based on Inertial Sensors
期刊论文
OAI收割
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 65-83
作者:
Yuan Wu
;
Hai-Bing Zhu
;
Qing-Xiu Du
;
Shu-Ming Tang
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2021/02/22
Inertial measurement unit (IMU)
pedestrian dead-reckoning
indoor navigation
technical route
general framework.