Integrating sensing functions into future mobile equipment has become an important trend.
Realizing different types of sensing and achieving mutual enhancement under the existing …

We present a simultaneous localization and mapping (SLAM) algorithm that is based on
radio signals and the association of specular multipath components (MPCs) with geometric …

In this paper, we present a Bayesian feature-based simultaneous localization and mapping
(SLAM) algorithm that exploits multipath components (MPCs) in radio-signals. The proposed …

Wireless simultaneous localization and mapping (SLAM) has attracted much attention as a
promising technique to empower location based services. However, the accuracy of …

Multipath-based simultaneous localization and mapping (SLAM) is an emerging paradigm
for accurate indoor localization constrained by limited navigation resources. The goal of …

This paper describes an algorithm that exploits multipath propagation for position estimation
of mobile receivers. We apply a novel algorithm based on recursive Bayesian filtering …

Simultaneous localization and mapping (SLAM) algorithm has enabled the automation of
mobile robots in unknown environments. It enables the robot to navigate through an …

In the upcoming sixth generation (6G) of wireless communication systems, reconfigurable
intelligent surfaces (RISs) are regarded as one of the promising technological enablers …

Simultaneous Localization and Mapping (SLAM) achieves the purpose of simultaneous
positioning and map construction based on self-perception. The paper makes an overview …

Edge computing is increasingly proposed as a solution for reducing resource consumption
of mobile devices running simultaneous localization and mapping (SLAM) algorithms, with …