In the era of the Internet of Things (IoT) and Industry 4.0, the indoor usage of smart devices is
expected to increase, thereby making their location information more important. Based on …

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 …

Developing a wireless indoor positioning system with high accuracy, reliability, and
reasonable cost has been the focus of many researchers. Recent studies have shown that …

On-demand delivery is an emerging business in recent years where accurate indoor
locations of Gig couriers play an important role in the order dispatch and delivery process …

针对无线接收信号强度(RSS) 受传播环境突发噪声影响从而引起指纹定位较大误差的问题,
本文提出了一种指纹子空间匹配结合密度峰值聚类(DPC) 的定位算法, 有效避免大误差点 …

Machine learning (ML) is a branch of artificial intelligence that has been developing at a
dynamic pace in recent years. ML is also linked with Big Data, which are huge datasets that …

Navigation and positioning based on sensor fusion has received great attention in low
computational complexity, high positioning accuracy and good robustness for indoor mobile …

Nowadays, there are a multitude of solutions for indoor positioning, as opposed to standards
for outdoor positioning such as GPS. Among the different existing studies on indoor …

Indoor localization via deep learning (DL) is attracting researchers' attention. DL is mainly
used for fingerprinting-based indoor localization as it generally employs a vast offline …

In deep learning (DL), the deep generative model is helpful for data augmentation objectives
to tackle the lack of datasets that have a significant impact on learning performance. Data …