Results 61 to 70 of about 8,582 (299)
Distributed Multisensor Multitarget Tracking Algorithm with Time-Offset Registration
Xibei Gongye Daxue Xuebao, 2020 In multisensor systems, the signal processing delay, measurement acquisition delay, and other factors will lead to imprecisely time-stamped measurements, namely, the problem of time-offset.
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Discrete EKF with pairwise Time Correlated Measurement Noise for Image-Aided Inertial Integrated Navigation [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 An image-aided inertial navigation implies that the errors of an inertial navigator are estimated via the Kalman filter using the aiding measurements derived from images.
N. S. Gopaul, J. G. Wang, B. Hu
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Huber-Based Robust Unscented Kalman Filter Distributed Drive Electric Vehicle State Observation
Energies, 2021 Accurate and real-time acquisition of vehicle state parameters is key to improving the performance of vehicle control systems. To improve the accuracy of state parameter estimation for distributed drive electric vehicles, an unscented Kalman filter (UKF)
Wenkang Wan +3 more
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Proposta de estimador não linear intermitente para sistemas de controle via rede sem fio [PDF]
, 2013 Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia de Automação e Sistemas, Florianópolis, 2013.Nesta tese, é tratado do problema de estimação em Sistemas de Controle Via Rede sem fio ...
Foletto, Tanisia de Carli
core
Advanced Intelligent Discovery, EarlyView.Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
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Covariance debiasing for the distributed kalman filter
, 2022 S.61-67A solution to exact Track-to-Track Fusion (T2TF) at arbitrary communication rates has been found under the assumption that all measurement error covariances are known to each of the sensors.
Charlish, A., Govaers, F., Koch, W.
core
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar +2 more
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High‐Speed Altitude Regulation With Neuromorphic Camera and Lightweight Embedded Computation
Advanced Intelligent Systems, EarlyView.Neuromorphic cameras deliver rapid, high‐dynamic‐range sensing but overwhelm embedded processors at high speeds. This work presents a lightweight, optimized Lucas–Kanade optical flow method with parallelization, gyroscopic derotation, and adaptive event slicing.
Simon L. Jeger +3 more
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Distributed Kalman Filtering Based on the Non-Repeated Diffusion Strategy
Sensors, 2020 Estimation accuracy is the core performance index of sensor networks. In this study, a kind of distributed Kalman filter based on the non-repeated diffusion strategy is proposed in order to improve the estimation accuracy of sensor networks.
Xiaoyu Zhang, Yan Shen
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Advanced Intelligent Systems, EarlyView.This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer +2 more
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