Camera, LiDAR and multi-modal SLAM systems for autonomous ground vehicles: a survey
Abstract Simultaneous Localization and Map** (SLAM) have been widely studied over the
last years for autonomous vehicles. SLAM achieves its purpose by constructing a map of the …
last years for autonomous vehicles. SLAM achieves its purpose by constructing a map of the …
SLAM; definition and evolution
H Taheri, ZC ** (SLAM) is a key problem in the field of
Artificial Intelligence and mobile robotics that addresses the problem of localization and …
Artificial Intelligence and mobile robotics that addresses the problem of localization and …
Adaptive SLAM Methodology Based on Simulated Annealing Particle Swarm Optimization for AUV Navigation
Simultaneous localization and map** (SLAM) is crucial and challenging for autonomous
underwater vehicle (AUV) autonomous navigation in complex and uncertain ocean …
underwater vehicle (AUV) autonomous navigation in complex and uncertain ocean …
Evolved Extended Kalman Filter for first-order dynamical systems with unknown measurements noise covariance
The present work focuses on an open problem in the design of Extended Kalman filters: the
lack of knowledge of the measurement noise covariance. A novel extension of the analytic …
lack of knowledge of the measurement noise covariance. A novel extension of the analytic …
[PDF][PDF] Visual simultaneous localisation and map** methodologies
Simultaneous localisation and map** (SLAM) is a process by which robots build maps of
their environment and simultaneously determine their location and orientation in the …
their environment and simultaneously determine their location and orientation in the …
A Novel Carrier Loop Based on Coarse-to-Fine Weighted Adaptive Kalman Filter for Weak Communication-Positioning Integrated Signal
X Deng, Z Deng, J Liu, Z Zhang - Sensors, 2022 - mdpi.com
We propose a communication-navigation integrated signal (CPIS), which is superimposed
on the communication signal with power that does not affect the communication service, and …
on the communication signal with power that does not affect the communication service, and …
Maximum likelihood estimation-assisted ASVSF through state covariance-based 2D SLAM algorithm
H Suwoyo, Y Tian, W Wang, L Li… - TELKOMNIKA …, 2021 - telkomnika.uad.ac.id
The smooth variable structure filter (ASVSF) has been relatively considered as a new robust
predictor-corrector method for estimating the state. In order to effectively utilize it, an SVSF …
predictor-corrector method for estimating the state. In order to effectively utilize it, an SVSF …
Innovation-Superposed Simultaneous Localization and Map** of Mobile Robots Based on Limited Augmentation
L Yang, C Li, W Song, Z Li - Electronics, 2023 - mdpi.com
In this paper, Aaiming at the problem of simultaneous localization map** (SLAM) for
mobile robots, a limited-augmentation innovation superposition (LAIS) is proposed to solve …
mobile robots, a limited-augmentation innovation superposition (LAIS) is proposed to solve …
Speed-sensorless control of induction motors based on adaptive EKF
L Tian, Z Li, Z Wang, X Sun, T Guo, H Zhang - Journal of Power Electronics, 2021 - Springer
The noise covariance matrices Q and R are set as constant values in the traditional
extended Kalman filter (TEKF). They are determined by trial and error. This process is very …
extended Kalman filter (TEKF). They are determined by trial and error. This process is very …
An efficient computational hybrid filter to the SLAM problem for an autonomous wheeled mobile robot
The using of an autonomous wheeled mobile robot (AWMR) that perform diverse processes
in a numerous number of applications without human's interposition in an unknown …
in a numerous number of applications without human's interposition in an unknown …