Indoor positioning systems of mobile robots: A review
J Huang, S Junginger, H Liu, K Thurow - Robotics, 2023 - mdpi.com
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 …
become a research hotspot. Indoor localization has become a key component in many fields …
Patchwork: Concentric zone-based region-wise ground segmentation with ground likelihood estimation using a 3D LiDAR sensor
Ground segmentation is crucial for terrestrial mobile platforms to perform navigation or
neighboring object recognition. Unfortunately, the ground is not flat, as it features steep …
neighboring object recognition. Unfortunately, the ground is not flat, as it features steep …
Particle filtering-based indoor positioning system for beacon tag tracking
Indoor positioning technology is one of the cornerstones for many services in Internet-of-
Things (IoT) systems. However, the existing indoor positioning systems are still suffering …
Things (IoT) systems. However, the existing indoor positioning systems are still suffering …
What if there was no revisit? Large-scale graph-based SLAM with traffic sign detection in an HD map using LiDAR inertial odometry
Accurate localization and mapping in a large-scale environment is an essential system of an
autonomous vehicle. The difficulty of the previous LiDAR or LiDAR-inertial simultaneous …
autonomous vehicle. The difficulty of the previous LiDAR or LiDAR-inertial simultaneous …
Improved CNN-based magnetic indoor positioning system using attention mechanism
M Abid, P Compagnon… - … Conference on Indoor …, 2021 - ieeexplore.ieee.org
Geomagnetic field fingerprinting is emerging as the most feasible and cost-effective
alternative to WiFi and Bluetooth fingerprinting due to the omnipresence of magnetic field …
alternative to WiFi and Bluetooth fingerprinting due to the omnipresence of magnetic field …
State estimation for HALE UAVs with deep-learning-aided virtual AOA/SSA sensors for analytical redundancy
High-altitudelong-endurance (HALE) unmanned aerial vehicles (UAVs) are employed in a
variety of fields because of their ability to fly for a long time at high altitudes, even in the …
variety of fields because of their ability to fly for a long time at high altitudes, even in the …
Novel deep-learning-aided multimodal target tracking
Existing interacting multiple models (IMMs) are limited by the time delay in responding to
system model jumps due to the nature of the soft hand-off algorithm that interacts among …
system model jumps due to the nature of the soft hand-off algorithm that interacts among …
G2P-SLAM: Generalized RGB-D SLAM framework for mobile robots in low-dynamic environments
In this paper, we propose a generalized grouping and pruning method for RGB-D SLAM in
low-dynamic environments. The conventional grouping and pruning methods successfully …
low-dynamic environments. The conventional grouping and pruning methods successfully …
Deep learning-aided synthetic airspeed estimation of UAVs for analytical redundancy with a temporal convolutional network
A synthetic air data system (SADS) is an analytical redundancy technique that is crucial for
unmanned aerial vehicles (UAVs) and is used as a backup system during air data sensor …
unmanned aerial vehicles (UAVs) and is used as a backup system during air data sensor …
An Attention-assisted UWB Ranging Error Compensation Algorithm
X He, L Mo, Q Wang - IEEE Wireless Communications Letters, 2022 - ieeexplore.ieee.org
Ultra wide-band (UWB) brings many benefits to wireless sensing. Theoretically, UWB can
achieve centimeter-level ranging accuracy. However, in practical applications, multipath …
achieve centimeter-level ranging accuracy. However, in practical applications, multipath …