Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Fuqiang Gu"'
Autor:
Fuqiang Gu, Fangming Guo, Fangwen Yu, Xianlei Long, Chao Chen, Kai Liu, Xuke Hu, Jianga Shang, Songtao Guo
Publikováno v:
Satellite Navigation, Vol 5, Iss 1, Pp 1-16 (2024)
Abstract Floor localization is crucial for various applications such as emergency response and rescue, indoor positioning, and recommender systems. The existing floor localization systems have many drawbacks, like low accuracy, poor scalability, and
Externí odkaz:
https://doaj.org/article/c6976909207c454e94fb5306033a0f64
Publikováno v:
Frontiers in Neurorobotics, Vol 17 (2023)
Externí odkaz:
https://doaj.org/article/b302b8b4d6a54d0c8b23cee83c84c3e6
Publikováno v:
Sensors, Vol 20, Iss 22, p 6698 (2020)
Map-matching is a popular method that uses spatial information to improve the accuracy of positioning methods. The performance of map matching methods is closely related to spatial characteristics. Although several studies have demonstrated that cert
Externí odkaz:
https://doaj.org/article/3028d369532b4028b8ccd9a05e8bf280
Publikováno v:
Sensors, Vol 15, Iss 12, Pp 30636-30652 (2015)
The recognition of locomotion activities (e.g., walking, running, still) is important for a wide range of applications like indoor positioning, navigation, location-based services, and health monitoring. Recently, there has been a growing interest in
Externí odkaz:
https://doaj.org/article/8bd02a166bb8461292922d2a50939fb8
Publikováno v:
Sensors, Vol 15, Iss 10, Pp 27251-27272 (2015)
The utility and adoption of indoor localization applications have been limited due to the complex nature of the physical environment combined with an increasing requirement for more robust localization performance. Existing solutions to this problem
Externí odkaz:
https://doaj.org/article/87c147bd5a7f4c59bb0ede3768f6d32f
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 11 (2015)
Indoor localization techniques using Wi-Fi fingerprints have become prevalent in recent years because of their cost-effectiveness and high accuracy. The most common algorithm adopted for Wi-Fi fingerprinting is weighted K -nearest neighbors (WKNN), w
Externí odkaz:
https://doaj.org/article/3c03b60d0bc04d2684b516ecb75fb258
Autor:
FUQIANG GU1 gufq@cqu.edu.cn, MU-HUAN CHUNG2 mhmchung@mie.utoronto.ca, MARK CHIGNELL2 chignell@mie.utoronto.ca, SHAHROKH VALAEE2 valaee@ece.utoronto.ca, BAODING ZHOU3 bdzhou@szu.edu.cn, XUE LIU4 xueliu@cs.mcgill.ca
Publikováno v:
ACM Computing Surveys. Nov2022, Vol. 54 Issue 8, p1-34. 34p.
Publikováno v:
IEEE Internet of Things Journal. 10:1297-1309
Autor:
Xiansheng Yang, Yuan Zhuang, Fuqiang Gu, Min Shi, Xiaoxiang Cao, You Li, Bingpeng Zhou, Liang Chen
Publikováno v:
IEEE Transactions on Vehicular Technology. :1-16
Autor:
Baoding Zhou, Zhining Gu, Fuqiang Gu, Peng Wu, Chengjing Yang, Xu Liu, Linchao Li, Yan Li, Qingquan Li
Publikováno v:
IEEE Transactions on Vehicular Technology. 71:13299-13309