This article is a survey of deep learning methods for single and multiple sound source
localization, with a focus on sound source localization in indoor environments, where …

The Internet of Things (IoT) is becoming an indispensable part of everyday life, enabling a
variety of emerging services and applications. However, the presence of rogue IoT devices …

Revolutionizing logistics and supply chain management in smart manufacturing is one of the
main goals of the Industry 4.0 movement. Emerging technologies such as autonomous …

Object identification and localization in indoor and outdoor environments are paramount
issues in object–human interaction. Recent advancements in the data fusion capabilities of …

This paper explores the limits of audio ranging on mobile devices in the context of a
keystroke snoo** scenario. Acoustic keystroke snoo** is challenging because it …

A large body of work has shown that ultra-wideband (UWB) technology enables accurate
indoor localization and tracking thanks to its high time-domain resolution. Existing systems …

With the increasing demand for product customization, the exponential increase in large-
scale and small-batch production orders has yielded new challenges for the capacity of …

In this article, we design a new time-of-arrival (TOA) system for simultaneous user device
(UD) localization and synchronization with a periodic asymmetric ranging network, namely …

Indoor location using radio frequency (RF) signals has been traditionally focused mainly on
RSSI and fingerprint techniques, because methods based on time of arrival (ToA) or time …

Wi-Fi fingerprint systems provide cost-effective and reliable solution for indoor positioning.
However, such systems incur high calibration cost in the training phase and high searching …