Results 191 to 200 of about 15,008 (242)

Implementation of EKF for Vehicle Velocities Estimation on FPGA

IEEE Transactions on Industrial Electronics, 2013
In order to improve the computational performance of the extended Kalman filter (EKF) for longitudinal and lateral vehicle velocities estimation, a novel scheme for the EKF implementation is proposed based on field programmable gate array (FPGA) and System on Programmable Chip (SoPC).
Hongyan Guo, Hong Chen
exaly   +2 more sources

Convergence and Consistency Analysis for a 3-D Invariant-EKF SLAM [PDF]

IEEE Robotics and Automation Letters, 2017
© 2016 IEEE. In this letter, we investigate the convergence and consistency properties of an invariant-extended Kalman filter (RI-EKF) based simultaneous localization and mapping (SLAM) algorithm. Basic convergence properties of this algorithm are proven.
, Kanzhi Wu, Jingwei Song
exaly   +2 more sources

Tuning the EKF using estimated measurements (EKF-EM) for balanced performances

Measurement: Journal of the International Measurement Confederation
Manika Saha, Ratna Ghosh
exaly   +2 more sources

NISAC-EKF: An integrated localization deployment algorithm for UAV swarms based on NARX and EKF

Physical Communication
Zhongcheng Wei, Jijun Zhao
exaly   +2 more sources

Reconfigurable EKF for 2D SLAM

2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI), 2016
The 2D SLAM problem has an unobservable subspace of 3 coordinates and using state estimation algorithms requires the formulated problem to be observable for consistent state estimation. This paper outlines the necessity of observability constraints in the 2D SLAM problem, and the two challenges encountered even when the problem is constrained.
Sindhu Radhakrishnan, Wail Gueaieb
openaire   +1 more source

MCC-EKF for Autonomous Car Security

2020 Fourth IEEE International Conference on Robotic Computing (IRC), 2020
This work attempts to answer two problems. (1) Can we use the odometry information from two different Simultaneous Localization And Mapping (SLAM) algorithms to get a better estimate of the odometry? and (2) What if one of the SLAM algorithms gets affected by shot noise or by attack vectors, and can we resolve this situation?
Ashutosh Singandhupe, Hung Manh La
openaire   +1 more source

Sensitivity analysis of EKF and iterated EKF pose estimation for position-based visual servoing

Proceedings of 2005 IEEE Conference on Control Applications, 2005. CCA 2005., 2005
Robust and real-time relative pose estimation is an integral part of a position-based visual servoing (PBVS) system. Traditionally, extended Kalman filter (EKF) has been used to solve for the nonlinear relative end-effector to object pose equations from a set of 2D-3D point correspondences.
Azad Shademan, Farrokh Janabi-Sharifi
openaire   +1 more source

IRobot self-localization using EKF

2016 IEEE International Conference on Information and Automation (ICIA), 2016
Self-Localization plays an important role in the mobile robot autonomous navigation. The Wheel Mobile robot usually contains a large number of different sensors, such as odometry, gyro, laser, camera and so on. All these sensors provide the information of robot localization and all these information should be considered for the optimal location ...
Shuqiang Zhao, Jason Gu, Yongsheng Ou, Wei Zhang 0021, Jiexin Pu, Heather Peng   +5 more
openaire   +1 more source

EKF learning for feedforward neural networks

2003 European Control Conference (ECC), 2003
Learning for feedforward neural networks can be regarded as a nonlinear parameter estimation problem with the objective of finding the optimal weights that provide the best fitting of a given training set. The extended Kalman filter is well-suited to accomplishing this task, as it is a recursive state estimation method for nonlinear systems.
ALESSANDRI, ANGELO, G. CIRIMELE, M. CUNEO, S. PAGNAN, SANGUINETI, MARCELLO   +4 more
openaire   +4 more sources

EKF’s Intrasuite Journal

2022
Formålet med et journalsystem er at registrere, dokumentere og systematisere al sags relevant materiale, der ind- eller udgår fra Eksport Kredit Fonden. Registreringen medvirker til at sikre, at Eksport Kredit Fonden opfylder de krav, der stilles til offentlig forvaltning.
openaire   +1 more source