This article presents a survey of simultaneous localization and mapping (SLAM) and data
fusion techniques for object detection and environmental scene perception in unmanned …

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

Modern robotic systems are required to operate in challenging environments, which demand
reliable localization under challenging conditions. LiDAR-based localization methods, such …

In indoor robot localization by using ultra-wideband (UWB), the extended Kalman filter (EKF)-
based algorithms suffer from the colored measurement noise (CMN) that degrades the …

In recent years, the demand for mapping construction sites or buildings using light detection
and ranging (LiDAR) sensors has been increased to model environments for efficient site …

Precise positioning is fundamental to the Internet of Things (IoT) that delivers insights into
everything from large-scale business to ordinary smart life. Accurate localization and …

This article addresses the problem of determining the location of pallets carried by forklifts
inside a warehouse, which are recognized thanks to an onboard Radio Frequency …

Loop closing and relocalization are crucial techniques to establish reliable and robust long-
term SLAM by addressing pose estimation drift and degeneration. This article begins by …

Applications of mobile robots are continuously capturing the importance in numerous areas
such as agriculture, surveillance, defense, and planetary exploration to name a few …

In this study, we propose a tightly coupled integrated method of ultrawideband (UWB) and
light detection and ranging (LiDAR)-based simultaneous localization and mapping (SLAM) …