Zobrazeno 1 - 10
of 307
pro vyhledávání: '"Zhongliang Jing"'
Publikováno v:
Electronics Letters, Vol 60, Iss 6, Pp n/a-n/a (2024)
Abstract A robust interacting multiple model approach is proposed to address the problem of accuracy and non‐Gaussian measurement noise in manoeuvering target tracking. The proposed approach introduces multiple fading factors into the prediction co
Externí odkaz:
https://doaj.org/article/446196e2c7e6482ba6224c0af72a77a6
Publikováno v:
IET Radar, Sonar & Navigation, Vol 17, Iss 3, Pp 435-448 (2023)
Abstract Conventional δ‐generalised labelled multi‐Bernoulli filter (δ‐GLMB) cannot deal with the problem of the heavy‐tailed process noise and measurement noise. In order to solve this problem, an adaptive δ‐GLMB approach based on minim
Externí odkaz:
https://doaj.org/article/857a6483d03a42c39a541d2fb31acf97
Robust adaptive multi‐target tracking with unknown measurement and process noise covariance matrices
Publikováno v:
IET Radar, Sonar & Navigation, Vol 16, Iss 4, Pp 735-747 (2022)
Abstract A robust adaptive probability hypothesis density (PHD) filter is proposed to address the degradation of PHD performance due to an unknown process noise and measurement noise covariance matrix. Therefore, the inverse Wishart distribution is i
Externí odkaz:
https://doaj.org/article/886caff72e81441fbd0df5e70eb86225
Adaptive Kernel Learning Kalman Filtering With Application to Model-Free Maneuvering Target Tracking
Publikováno v:
IEEE Access, Vol 10, Pp 78088-78101 (2022)
Kernel method is a non-parametric linearization method for system modeling, which uses nonlinear projection from input data space to high-dimensional Hilbert feature space and employs kernel function for hiding the projection operator in a linear lea
Externí odkaz:
https://doaj.org/article/4d38ce761e534fbf802ffce537f39dc6
Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4370 (2023)
Multiband image fusion aims to generate high spatial resolution hyperspectral images by combining hyperspectral, multispectral or panchromatic images. However, fusing multiband images remains a challenge due to the identifiability and tracking of the
Externí odkaz:
https://doaj.org/article/e2c31d214d1641c0943f9542d0355033
Publikováno v:
IEEE Access, Vol 8, Pp 89143-89151 (2020)
In this paper, a chamfer distribution antenna array is designed to generate a deflecting circular-polarized vortex beam carrying orbital angular momentum (OAM) mode. When the vortex beam is designed with a deflection angle, the sidelobe of the vortex
Externí odkaz:
https://doaj.org/article/fda4dac0bab842f99f166a6d1bba93fd
Publikováno v:
IET Computer Vision, Vol 12, Iss 6, Pp 873-881 (2018)
Zero‐shot learning (ZSL) aims to classify the objects without any training samples. Attributes are used to transfer knowledge from the training set to testing one in ZSL. Most ZSL methods based on Direct Attribute Prediction (DAP) assume that attri
Externí odkaz:
https://doaj.org/article/becccde753cf4434b1f4298c40e730f9
Publikováno v:
IEEE Access, Vol 5, Pp 20852-20865 (2017)
In online sequential applications, a machine learning model needs to have a self-updating ability to handle the situation, which the training set is changing. Conventional incremental extreme learning machine (ELM) and online sequential ELM are usual
Externí odkaz:
https://doaj.org/article/e0c974298e2143b9bacf16669af7abbb
Publikováno v:
Sensors, Vol 20, Iss 15, p 4235 (2020)
This paper proposes a new solution to multi-target joint detection, tracking and classification based on labeled random finite set (RFS) and belief function theory. A class dependent multi-model marginal generalized labeled multi-Bernoulli (MGLMB) fi
Externí odkaz:
https://doaj.org/article/b537769c6cf74afba302419a28102ea9
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 14 (2017)
This article focuses on the forward kinematic analysis of a class of asymmetrical parallel manipulators by the proposed elimination approach. To solve the key forward kinematic constraint equations with transcendental parameters of the manipulator, a
Externí odkaz:
https://doaj.org/article/8698d95d7258477781e8fe6fbbf71c2f