Quantitative indoor monitoring, in a low-invasive and accurate way, is still an unmet need in clinical practice. Indoor environments are more challenging than outdoor environments, and …
MO Wong, S Lee - Automation in Construction, 2023 - Elsevier
Collaboration in indoor fire emergencies requires participants to share various information regarding individuals, fires, and resources. To facilitate response actions, this study …
Precise positioning is fundamental to the Internet of Things (IoT) that delivers insights into everything from large-scale business to ordinary smart life. Accurate localization and …
W Wang, D Marelli, M Fu - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
In this article we study the problem of localizing a fleet of vehicles in an indoor environment using ultra-wideband (UWB) signals. This is typically done by placing a number of UWB …
H Zhang, Z Zhang, N Gao, Y Xiao, Z Meng, Z Li - Sensors, 2020 - mdpi.com
Wearable indoor localization can now find applications in a wide spectrum of fields, including the care of children and the elderly, sports motion analysis, rehabilitation …
L Xu, Z Xiong, J Liu, Z Wang, Y Ding - Remote Sensing, 2019 - mdpi.com
With the rapid development of smartphone technology, pedestrian navigation based on built- in inertial sensors in smartphones shows great application prospects. Currently, most …
Integrated Ultra-wideband (UWB) and Magnetic Inertial Measurement Unit (MIMU) sensor systems have been gaining popularity for pedestrian tracking and indoor localization …
B Cao, S Wang, S Ge, F Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Appropriate deployment of anchor nodes (ANs) is an essential prerequisite for achieving high-precision positioning. To ameliorate the comprehensive positioning performance, the …
B Zhou, H Fang, J Xu - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
In this article, we present a novel ultrawideband (UWB)-inertial measurement unit (IMU)- odometer fusion localization scheme for nonholonomic ground robots in global positioning …