Recently, with the in-depth development of Industry 4.0 worldwide, mobile robots have
become a research hotspot. Indoor localization has become a key component in many fields …

In the recent past, we have witnessed the adoption of different machine learning techniques
for indoor positioning applications using WiFi, Bluetooth and other technologies. The …

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 …

Ultrawideband (UWB) technology is the potential indoor positioning method, which is based
on the time of arrival (TOA) principle and Kalman filter (KF) algorithm. In this research, a high …

Wireless-radio-communication-based devices are used in more and more places with the
spread of Industry 4.0. Localization plays a crucial part in many of these applications. In this …

With the continuous development of indoor positioning technology, various indoor
applications, such as indoor navigation and emergency rescue, have gradually received …

Autonomous mobile robots are one of the critical technologies in the realization of Industry
4.0. They are used in smart factories to perform transport tasks in internal logistics …

为向室内定位技术定位精度及抗干扰能力提供高精度数据对比标准, 提出单目视觉空间移动靶位
姿测量方法. 结合机器视觉投影矩阵求解与摄影测量后方交会技术, 实现任意靶位姿下的相机外 …

Accurate indoor positioning is the key to the development of the Internet of Things and
intelligent devices. In view of GPS-denied indoor environments, we propose to build the …

This paper stresses its contribution based on improving the learning dynamics of the online
sequential extreme learning machine (OS-ELM) algorithm using a control system approach …