A survey of recent indoor localization scenarios and methodologies
T Yang, A Cabani, H Chafouk - Sensors, 2021 - mdpi.com
Recently, various novel scenarios have been studied for indoor localization. The trilateration
is known as a classic theoretical model of geometric-based indoor localization, with uniform …
is known as a classic theoretical model of geometric-based indoor localization, with uniform …
Action transformer: A self-attention model for short-time pose-based human action recognition
Deep neural networks based purely on attention have been successful across several
domains, relying on minimal architectural priors from the designer. In Human Action …
domains, relying on minimal architectural priors from the designer. In Human Action …
Fundamental limitations and state-of-the-art solutions for target node localization in WSNs: a review
With the advances in new technological trends and the reduction in prices of sensor nodes,
wireless sensor networks (WSNs) and their applications are proliferating in several areas of …
wireless sensor networks (WSNs) and their applications are proliferating in several areas of …
Robust UWB indoor localization for NLOS scenes via learning spatial-temporal features
Ultra-wide band (UWB) localization system suffers from deteriorating performance in
complex scenes, especially in non-line-of-sight (NLOS) conditions. In order to improve the …
complex scenes, especially in non-line-of-sight (NLOS) conditions. In order to improve the …
Accurate indoor positioning for UWB-based personal devices using deep learning
Recently, there has been a rapidly emerging demand for localization technologies to
provide various location-based services in indoor environments, such as smart buildings …
provide various location-based services in indoor environments, such as smart buildings …
FCN-Attention: A deep learning UWB NLOS/LOS classification algorithm using fully convolution neural network with self-attention mechanism
Y Pei, R Chen, D Li, X **ao, X Zheng - Geo-Spatial Information …, 2024 - Taylor & Francis
ABSTRACT The Ultra-Wideband (UWB) Location-Based Service is receiving more and more
attention due to its high ranging accuracy and good time resolution. However, the None-Line …
attention due to its high ranging accuracy and good time resolution. However, the None-Line …
[HTML][HTML] Generative adversarial super-resolution at the edge with knowledge distillation
Abstract Single-Image Super-Resolution can support robotic tasks in environments where a
reliable visual stream is required to monitor the mission, handle teleoperation or study …
reliable visual stream is required to monitor the mission, handle teleoperation or study …
Ultra inertial poser: Scalable motion capture and tracking from sparse inertial sensors and ultra-wideband ranging
While camera-based capture systems remain the gold standard for recording human motion,
learning-based tracking systems based on sparse wearable sensors are gaining popularity …
learning-based tracking systems based on sparse wearable sensors are gaining popularity …
NLOS identification using parallel deep learning model and time-frequency information in UWB-based positioning system
J Wei, H Wang, S Su, Y Tang, X Guo, X Sun - Measurement, 2022 - Elsevier
Ultra wide band (UWB) radio positioning technology is widely used in indoor high-precision
positioning scenes, while obstacles in the wireless signal propagation path will cause the …
positioning scenes, while obstacles in the wireless signal propagation path will cause the …
Deep learning-based ranging error mitigation method for UWB localization system in greenhouse
The intelligent devices in indoor agriculture put forward high requirements for localization.
However, the narrow space and various obstacles in the greenhouse generate non-line-of …
However, the narrow space and various obstacles in the greenhouse generate non-line-of …