A localization based on unscented Kalman filter and particle filter localization algorithms

I Ullah, Y Shen, X Su, C Esposito, C Choi - IEEE Access, 2019 - ieeexplore.ieee.org
… [39] Huang, Guoquan P and Mourikis, Anastasios I and Roumeliotis, Stergios I, “A
quadratic-complexity observability-constrained unscented Kalman filter for SLAM“ IEEE Transactions …

Localization Method for Autonomous Vehicles with Sensor Fusion Using Extended and Unscented Kalman Filters

S Feraco, S Favelli, A Tonoli, A Bonfitto, N Amati - 2021 - sae.org
… Moreover, the choice of exploiting the robot localization package capabilities for the main
software architecture has constrained the kind of filters considered in this paper. The package …

Constrained robust unscented Kalman filter for BDS navigation in dense urban areas

X Yin, H Chai, Y Zhang, M Xiang - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
… Many scholars have evaluated the performance of BDS positioning based on the … of BDS
single point positioning (SPP) is at the same level of Global Positioning System (GPS) SPP. …

Multiple-vehicle localization using maximum likelihood Kalman filtering and ultra-wideband signals

W Wang, D Marelli, M Fu - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
… cost limitations impose a constraint to the achievable accuracy. The localization error of graph
… UWB and IMU based on unscented Kalman filter for indoor localization of quadrotor UAV,” …

Vehicle localization during GPS outages with extended Kalman filter and deep learning

J Liu, G Guo - IEEE Transactions on Instrumentation and …, 2021 - ieeexplore.ieee.org
… CONCLUSION AND FUTURE WORK In this article, a novel vehicle localization with adaptive
… Wu, “Constrained MEMS-based GNSS/INS tightly coupled system with robust Kalman filter

A robust localization method for unmanned surface vehicle (USV) navigation using fuzzy adaptive Kalman filtering

W Liu, Y Liu, R Bucknall - IEEE Access, 2019 - ieeexplore.ieee.org
… in a range of environments under varying dynamic constraints. This paper proposes a …
Unscented Kalman Filter (UKF) for the autonomous navigation of an Unmanned Surface Vehicle (…

An Unscented Kalman Filter‐Based Method for Reconstructing Vehicle Trajectories at Signalized Intersections

J Mu, Y Han, C Zhang, J Yao… - Journal of advanced …, 2021 - Wiley Online Library
constraints and the low coverage of sensors. With the development of technologies such as
wireless communication, mobile positioning, and vehicle-… and uses the constrained quadratic …

Optimal vehicle position estimation using adaptive unscented Kalman filter based on sensor fusion

G Park - Mechatronics, 2024 - Elsevier
… position during the entire test period: four different types of vehicle positioning method are
1) the measurement from standalone GPS, 2) EKF, 3) UKF, and 4) AUKF (proposed). Also, …

On the efficiency of SLAM using adaptive unscented Kalman filter

MS Bahraini - Iranian Journal of Science and Technology …, 2020 - Springer
… adaptive unscented Kalman filter (AUKF) algorithm is applied to simultaneous localization
The scaling parameter is a design parameter in the unscented Kalman filter (UKF) which can …

Computationally relaxed unscented kalman filter

J Kuti, IJ Rudas, H Gao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
filtering model and avoid the calculations for the kernel of the nonlinear part. The practical
merit of the proposed relaxation is demonstrated through a simultaneous localizationconstrain