Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Jianga Shang"'
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:
Remote Sensing, Vol 15, Iss 23, p 5616 (2023)
The use of solar energy has shown the fastest global growth of all renewable energy sources. Efforts towards careful evaluation are required to select optimal locations for the installation of photovoltaics (PV) because their effectiveness is strongl
Externí odkaz:
https://doaj.org/article/691822e9363f44f0b780f4a401d3101b
Publikováno v:
International Journal of Digital Earth, Vol 13, Iss 11, Pp 1230-1257 (2020)
In landmark-based way-finding, determining the most salient landmark from several candidates at decision points is challenging. To overcome this problem, current approaches usually rely on a linear model to measure the salience of landmarks. However,
Externí odkaz:
https://doaj.org/article/35a86019b5ea42cc88c299d40774bb79
Publikováno v:
Remote Sensing, Vol 13, Iss 10, p 1882 (2021)
Coarse registration of 3D point clouds plays an indispensable role for parametric, semantically rich, and realistic digital twin buildings (DTBs) in the practice of GIScience, manufacturing, robotics, architecture, engineering, and construction. Howe
Externí odkaz:
https://doaj.org/article/ab81d3048f9843768bfb0b09a30302e3
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:
ISPRS International Journal of Geo-Information, Vol 9, Iss 4, p 261 (2020)
Wi-Fi fingerprinting has been widely used for indoor localization because of its good cost-effectiveness. However, it suffers from relatively low localization accuracy and robustness owing to the signal fluctuations. Virtual Access Points (VAP) can e
Externí odkaz:
https://doaj.org/article/5b6f12bfeeea4901b90a892f68287a2c
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:
Remote Sensing, Vol 11, Iss 13, p 1535 (2019)
Current indoor mapping approaches can detect accurate geometric information but are incapable of detecting the room type or dismiss this issue. This work investigates the feasibility of inferring the room type by using grammars based on geometric map
Externí odkaz:
https://doaj.org/article/d2deee8d3a7c401e8faf1419e0388f8e