Research advances and challenges of autonomous and connected ground vehicles

A Eskandarian, C Wu, C Sun - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …

Kalman filter: historical overview and review of its use in robotics 60 years after its creation

C Urrea, R Agramonte - Journal of Sensors, 2021 - Wiley Online Library
Due to its widespread application in the robotics field, the Kalman filter has received
increased attention from researchers. This work reviews some of the modifications …

State-of-charge and state-of-health lithium-ion batteries' diagnosis according to surface temperature variation

A El Mejdoubi, A Oukaour, H Chaoui… - IEEE Transactions …, 2015 - ieeexplore.ieee.org
This paper presents a hybrid state-of-charge (SOC) and state-of-health (SOH) estimation
technique for lithium-ion batteries according to surface temperature variation (STV). The …

Experimental evaluation of accuracy and repeatability of a novel body-to-sensor calibration procedure for inertial sensor-based gait analysis

E Palermo, S Rossi, F Marini, F Patanè, P Cappa - Measurement, 2014 - Elsevier
This paper describes a novel functional body-to-sensor calibration procedure for inertial
sensor-based gait analysis. The procedure is designed to be easily and autonomously …

High-integrity IMM-EKF-based road vehicle navigation with low-cost GPS/SBAS/INS

R Toledo-Moreo, MA Zamora-Izquierdo… - IEEE Transactions …, 2007 - ieeexplore.ieee.org
User requirements for the performance of Global Navigation Satellite System (GNSS)-based
road applications have been significantly increasing in recent years. Safety systems based …

Localized extended kalman filter for scalable real-time traffic state estimation

CPIJ Van Hinsbergen, T Schreiter… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
Current or historic traffic states are essential input to advanced traveler information, dynamic
traffic management, and model predictive control systems. As traffic states are usually not …

Comparison of EKF and UKF for spacecraft localization via angle measurements

A Giannitrapani, N Ceccarelli… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
The performance of two nonlinear estimators is compared for the localization of a spacecraft.
It is assumed that range measurements are not available (as in deep space missions), and …

Kalman filter assisted deep feature learning for RUL prediction of hydraulic gear pump

MS Lee, TA Shifat, JW Hur - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Due to the dynamic and complex operating conditions in industrial machinery, relying on a
single sensor data can lead to an erroneous approximation of the remaining useful life …

A new method for compensating the errors of integrated navigation systems using artificial neural networks

N Al Bitar, A Gavrilov - Measurement, 2021 - Elsevier
The integrated navigation system consists of Inertial Navigation System (INS) and receiver of
Global Navigation Satellite System (GNSS). The combined system provides continuous and …

Flight-test evaluation of sensor fusion algorithms for attitude estimation

JN Gross, Y Gu, MB Rhudy, S Gururajan… - … on Aerospace and …, 2012 - ieeexplore.ieee.org
In this paper, several Global Positioning System/inertial navigation system (GPS/INS)
algorithms are presented using both extended Kalman filter (EKF) and unscented Kalman …