|
|
|
Imran Moez Khan, Andrew Thompson, Akram Al-Hourani, Kandeepan Sithamparanathan and Wayne S. T. Rowe
Complementing RSSI measurements at anchors with onboard smartphone accelerometer measurements is a popular research direction to improve the accuracy of indoor localization systems. This can be performed at different levels; for example, many studies hav...
ver más
|
|
|
|
|
|
|
Sahibzada Muhammad Ahmad Umair and Tughrul Arslan
Over the past decade, the demand and research for indoor localization have burgeoned and Wi-Fi fingerprinting approach has been widely considered because it is cheap and accessible. However, most existing methods lack in terms of positioning accuracy and...
ver más
|
|
|
|
|
|
|
Silvia Stranieri
In the last few years, researchers from many research fields are investigating the problem affecting all the drivers in big and populated cities: the parking problem. In outdoor environments, the problem can be solved by relying on vehicular ad hoc netwo...
ver más
|
|
|
|
|
|
|
Helmer Augusto de Souza Mourão and Horácio Antonio Braga Fernandes de Oliveira
Indoor localization systems are used to locate mobile devices inside buildings where traditional solutions, such as the Global Navigation Satellite Systems (GNSS), do not work well due to the lack of direct visibility to the satellites. Fingerprinting is...
ver más
|
|
|
|
|
|
|
Muhammed Zahid Karakusak, Hasan Kivrak, Hasan Fehmi Ates and Mehmet Kemal Ozdemir
Wireless Local Area Network (WLAN) positioning is a challenging task indoors due to environmental constraints and the unpredictable behavior of signal propagation, even at a fixed location. The aim of this work is to develop deep learning-based approache...
ver más
|
|
|
|
|
|
|
Jingxue Bi, Lu Huang, Hongji Cao, Guobiao Yao, Wengang Sang, Jie Zhen and Yuying Liu
Many indoor fingerprinting localization methods are based on signal-domain distances with large localization error and low stability. An improved fingerprinting localization method using a clustering algorithm and dynamic compensation was proposed. In th...
ver más
|
|
|
|
|
|
|
Taehoon Kim, Kyoung-Sook Kim and Ki-Joune Li
With the development of indoor positioning methods, such as Wi-Fi positioning, geomagnetic sensor positioning, Ultra-Wideband positioning, and pedestrian dead reckoning, the area of location-based services (LBS) is expanding from outdoor to indoor spaces...
ver más
|
|
|
|
|
|
|
Fan Xu, Xuke Hu, Shuaiwei Luo and Jianga Shang
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 effec...
ver más
|
|
|
|
|
|
|
Da Li, Yingke Lei, Xin Li and Haichuan Zhang
Wi-Fi and magnetic field fingerprinting-based localization have gained increased attention owing to their satisfactory accuracy and global availability. The common signal-based fingerprint localization deteriorates due to well-known signal fluctuations. ...
ver más
|
|
|
|
|
|
|
Imran Ashraf, Soojung Hur and Yongwan Park
Indoor localization systems are susceptible to higher errors and do not meet the current standards of indoor localization. Moreover, the performance of such approaches is limited by device dependence. The use of Wi-Fi makes the localization process vulne...
ver más
|
|
|
|