Now you see it… now you don't: Understanding airborne mapping LiDAR collection and data product generation for archaeological research in Mesoamerica
JC Fernandez-Diaz, WE Carter, RL Shrestha… - Remote Sensing, 2014 - mdpi.com
In this paper we provide a description of airborne mapping LiDAR, also known as airborne
laser scanning (ALS), technology and its workflow from mission planning to final data …
laser scanning (ALS), technology and its workflow from mission planning to final data …
Geometric validation of a ground-based mobile laser scanning system
D Barber, J Mills, S Smith-Voysey - ISPRS journal of photogrammetry and …, 2008 - Elsevier
This paper outlines a study, carried out on behalf of a national mapping agency, to validate
laser scanned point cloud data collected by a ground-based mobile mapping system. As the …
laser scanned point cloud data collected by a ground-based mobile mapping system. As the …
Maximum likelihood principle and moving horizon estimation based adaptive unscented Kalman filter
B Gao, S Gao, G Hu, Y Zhong, C Gu - Aerospace Science and Technology, 2018 - Elsevier
The classical unscented Kalman filter (UKF) requires prior knowledge on statistical
characteristics of system noises for state estimation of a nonlinear dynamic system. If the …
characteristics of system noises for state estimation of a nonlinear dynamic system. If the …
State of charge estimation for Li-ion battery based on model from extreme learning machine
J Du, Z Liu, Y Wang - Control Engineering Practice, 2014 - Elsevier
Abstract Lithium-ion (Li-ion) battery state of charge (SOC) estimation is important for electric
vehicles (EVs). The model-based state estimation method using the Kalman filter (KF) …
vehicles (EVs). The model-based state estimation method using the Kalman filter (KF) …
A robust adaptive unscented Kalman filter for nonlinear estimation with uncertain noise covariance
B Zheng, P Fu, B Li, X Yuan - Sensors, 2018 - mdpi.com
The Unscented Kalman filter (UKF) may suffer from performance degradation and even
divergence while mismatch between the noise distribution assumed as a priori by users and …
divergence while mismatch between the noise distribution assumed as a priori by users and …
On the identification of noise covariances and adaptive Kalman filtering: A new look at a 50 year-old problem
The Kalman filter requires knowledge of the noise statistics; however, the noise covariances
are generally unknown. Although this problem has a long history, reliable algorithms for their …
are generally unknown. Although this problem has a long history, reliable algorithms for their …
State-of-charge estimation of lead-acid batteries using an adaptive extended Kalman filter
J Han, D Kim, M Sunwoo - Journal of Power Sources, 2009 - Elsevier
Lead-acid batteries are widely used in conventional internal-combustion-engined vehicles
and in some electric vehicles. In order to improve the longevity, performance, reliability …
and in some electric vehicles. In order to improve the longevity, performance, reliability …
Adaptive fuzzy strong tracking extended Kalman filtering for GPS navigation
DJ Jwo, SH Wang - IEEE Sensors Journal, 2007 - ieeexplore.ieee.org
The well-known extended Kalman filter (EKF) has been widely applied to the Global
Positioning System (GPS) navigation processing. The adaptive algorithm has been one of …
Positioning System (GPS) navigation processing. The adaptive algorithm has been one of …
Design and implementation of hybrid adaptive extended Kalman filter for state estimation of induction motor
G Özkurt, E Zerdali - IEEE Transactions on Instrumentation and …, 2022 - ieeexplore.ieee.org
Today, induction motor (IM) is still the most popular electrical machine due to its robust and
rare element-free structure, lower maintenance requirement, and cost-effective production …
rare element-free structure, lower maintenance requirement, and cost-effective production …