Machine learning-based multi-sensor fusion for warehouse robot in GPS-denied environment
Mobile robots have been widely used in warehouse applications because of their ability to
move and handle heavy loads. This study deals with sensor fusion of Inertial Measurement …
move and handle heavy loads. This study deals with sensor fusion of Inertial Measurement …
Pozyx technology with SDN for advanced indoor air quality monitoring and management
Indoor positioning systems and Air Quality (AQ) monitoring play a crucial role in creating
smart environments that promote human well-being and sustainable living. This research …
smart environments that promote human well-being and sustainable living. This research …
[HTML][HTML] Real-Time Indoor Localization and Safety Applications Using UWB in Construction
This study evaluates the applicability of real-time kinematic positioning using Ultra Wide
Band (UWB) technology in indoor construction sites by analyzing positioning errors from …
Band (UWB) technology in indoor construction sites by analyzing positioning errors from …
System and Method for Reducing NLOS Errors in UWB Indoor Positioning
Y Wang, D Zhang, Z Li, M Lu, Y Zheng, T Fang - Applied Sciences, 2024 - mdpi.com
The ultra-wideband (UWB) technology has been increasingly recognized as an efficacious
strategy for Indoor Positioning Systems (IPSs). However, the accuracy of the UWB system …
strategy for Indoor Positioning Systems (IPSs). However, the accuracy of the UWB system …
System Design and Performance Analysis of Indoor Real-time Localization using UWB Infrastructure
J Plangger, HG Ravichandran… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
Indoor localization and tracking poses a uniquely challenging aspect for asset tracking.
Unreliability of traditional positioning systems, such as GNSS, in indoor applications calls for …
Unreliability of traditional positioning systems, such as GNSS, in indoor applications calls for …
Ultrawideband Localization Improvement Based on LSTM Neural Networks
This study investigates the enhancement of localization accuracy through the application of
the Kalman filter and LSTM neural network. Experimental results reveal the successful …
the Kalman filter and LSTM neural network. Experimental results reveal the successful …