Zobrazeno 1 - 10
of 2 221
pro vyhledávání: '"Julier, A."'
Ensuring sufficiently accurate models is crucial in target tracking systems. If the assumed models deviate too much from the truth, the tracking performance might be severely degraded. While the models are in general defined using multivariate condit
Externí odkaz:
http://arxiv.org/abs/2406.00861
Autor:
Uhlmann, Jeffrey, Julier, Simon
Publikováno v:
Journal de Ciencia e Ingenier\'ia, vol. 14, no. 1, pp. 21-26, 2022
One of the most common misconceptions made about the Kalman filter when applied to linear systems is that it requires an assumption that all error and noise processes are Gaussian. This misconception has frequently led to the Kalman filter being dism
Externí odkaz:
http://arxiv.org/abs/2405.00058
The nonlinear and stochastic relationship between noise covariance parameter values and state estimator performance makes optimal filter tuning a very challenging problem. Popular optimization-based tuning approaches can easily get trapped in local m
Externí odkaz:
http://arxiv.org/abs/2306.07225
Publikováno v:
Trials, Vol 25, Iss 1, Pp 1-7 (2024)
Abstract Background It is essential that electronic data collection (EDC) systems are both compliant with regulations and the principles of Good Clinical Practice (GCP) to allow for the timely and accurate reporting of data including safety data. For
Externí odkaz:
https://doaj.org/article/b23284c27b4042909385e13b73a7025c
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
IntroductionIncreasing intraspecific genetic variation (IV) has been identified as a potential factor to improve productivity and stabilise botanical composition in plant communities. In grasslands systems, this could offer a lever to manage uncertai
Externí odkaz:
https://doaj.org/article/a5680ba6a4dd45a7a5c59d7adc7a776f
Publikováno v:
IEEE Access, 2022
With the rising prevalence of autism diagnoses, it is essential for research to understand how to leverage technology to support the diverse nature of autistic traits. While traditional interventions focused on technology for medical cure and rehabil
Externí odkaz:
http://arxiv.org/abs/2204.00719
Autor:
Merz, Sarah, Senée, Valérie, Philippi, Anne, Oswald, Franz, Shaigan, Mina, Führer, Marita, Drewes, Cosima, Allgöwer, Chantal, Öllinger, Rupert, Heni, Martin, Boland, Anne, Deleuze, Jean-François, Birkhofer, Franziska, Gusmao, Eduardo G., Wagner, Martin, Hohwieler, Meike, Breunig, Markus, Rad, Roland, Siebert, Reiner, Messerer, David Alexander Christian, Costa, Ivan G., Alvarez, Fernando, Julier, Cécile, Kleger, Alexander, Heller, Sandra
Publikováno v:
In Cell Reports 26 November 2024 43(11)
Motion tracking systems based on optical sensors typically often suffer from issues, such as poor lighting conditions, occlusion, limited coverage, and may raise privacy concerns. More recently, radio frequency (RF)-based approaches using commercial
Externí odkaz:
http://arxiv.org/abs/2201.04212
In this paper, we propose an approach to address the problems with ambiguity in tuning the process and observation noises for a discrete-time linear Kalman filter. Conventional approaches to tuning (e.g. using normalized estimation error squared and
Externí odkaz:
http://arxiv.org/abs/2108.10712
Micro-Doppler signatures contain considerable information about target dynamics. However, the radar sensing systems are easily affected by noisy surroundings, resulting in uninterpretable motion patterns on the micro-Doppler spectrogram. Meanwhile, r
Externí odkaz:
http://arxiv.org/abs/2107.07312