Results 1 to 10 of about 19,010 (211)
Sigma Point Belief Propagation
, 2013 The sigma point (SP) filter, also known as unscented Kalman filter, is an attractive alternative to the extended Kalman filter and the particle filter. Here, we extend the SP filter to nonsequential Bayesian inference corresponding to loopy factor graphs.
Hlawatsch, Franz +2 more
core +1 more source
ATSUKF-Based Actuator Health Assessment Method for Quad-Copter Unmanned Aerial Vehicles
Drones, 2022 The actuator, which generally consists of motors, electrical regulations, and propellers, is the key component of the quadrotor Unmanned Aerial Vehicle.
Zhenxin Zhang +4 more
doaj +1 more source
Statistical Inference in the Duffing System with the Unscented Kalman Filter [PDF]
, 2017 We investigate the accuracy of inference in a chaotic dynamical sys- tem (Duffing oscillator) with the Unscented Kalman Filter, and quantify the dependence on the sample size, the signal to noise ratio and the ...
Husmeier, Dirk +3 more
core
IEEE AccessAutonomous vehicle lane change maneuvers are an intricate task that requires multiple subsystems to work together to ensure the maneuver’s safety and efficiency.
Heyi Muluneh Hailu +2 more
doaj +1 more source
Unscented Bayesian Optimization for Safe Robot Grasping [PDF]
, 2016 We address the robot grasp optimization problem of unknown objects considering uncertainty in the input space. Grasping unknown objects can be achieved by using a trial and error exploration strategy.
Bernardino, Alexandre +3 more
core +2 more sources
FEATURES OF UNSCENTED KALMAN FILTER PERFORMANCE USING POLAR MEASUREMENTS
Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019 The principle of the unscented transformation and features of Unscented Kalman filter performance using polar measurement is considered. The estimation performance of Extended Kalman filter and Unscented Kalman Filter is compared.
P. A. Khmarski, A. S. Solonar
doaj
IEEE Access, 2021 An integration scheme for sideslip angle estimation is proposed where a deep neural network and a simple kinematics-based model are combined in an unscented Kalman filter.
Dongchan Kim +3 more
doaj +1 more source
Unscented Kalman Filter for Brain-Machine Interfaces
PLoS ONE, 2009 Brain machine interfaces (BMIs) are devices that convert neural signals into commands to directly control artificial actuators, such as limb prostheses. Previous real-time methods applied to decoding behavioral commands from the activity of populations of neurons have generally relied upon linear models of neural tuning and were limited in the way they
Zheng Li +5 more
openaire +4 more sources
FILTERING FEATURES FOR TRACKING OF SPIRALING REENTRY VEHICLES
Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019 The target dynamics model for tracking of spiraling reentry vehicles is considered. The features of Extended Kalman filter modification and Unscented Kalman filter are listed.
A. S. Solonar, P. A. Khmarski
doaj
Unscented Kalman Filter Based Attitude Estimation of a Quadrotor
Havacılık ve Uzay Teknolojileri Dergisi, 2021 Quadrotors are well - known unmanned aerial vehicle structures that have some advantages such as hovering, vertical take – off and landing, and low – speed flight. On the other hand, quadrotors are subjected to modeling and sensor uncertainties that lead
Aziz Kaba
doaj