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Karimi, Hamed (author), Iran-Pour, Siavash (author), Amiri Simkooei, A. (author), Babadi, Masoud (author)
Gravity recovery and climate experiment (GRACE) and GRACE Follow-On (GRACE-FO) are Earth's gravity satellite missions with hydrological monitoring applications. However, caused by measuring instrumental problems, there are several temporal missing values in the dataset of the two missions where a long gap between the mission dataset also...
journal article 2023
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Sedlar, Jiri (author), Stepanova, Karla (author), Skoviera, Radoslav (author), Behrens, Jan K. (author), Tuna, Matus (author), Sejnova, Gabriela (author), Sivic, Josef (author), Babuska, R. (author)
This letter introduces a dataset for training and evaluating methods for 6D pose estimation of hand-held tools in task demonstrations captured by a standard RGB camera. Despite the significant progress of 6D pose estimation methods, their performance is usually limited for heavily occluded objects, which is a common case in imitation learning...
journal article 2023
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Zaffar, M. (author), Nan, L. (author), Kooij, J.F.P. (author)
Visual place recognition (VPR) is an image-based localization method that estimates the camera location of a query image by retrieving the most similar reference image from a map of geo-tagged reference images. In this work, we look into two fundamental bottlenecks for its localization accuracy: 1) reference map sparseness and 2) viewpoint...
journal article 2023
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Lopuhaä, H.P. (author)
A unified approach is provided for a method of estimation of the regression parameter in balanced linear models with a structured covariance matrix that combines a high breakdown point with high asymptotic efficiency at models with multivariate normal errors. Of main interest are linear mixed effects models, but our approach also includes...
journal article 2023
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Meo, Cristian (author), Franzese, G. (author), Pezzato, C. (author), Spahn, M. (author), Lanillos, Pablo (author)
Adaptation to external and internal changes is of major importance for robotic systems in uncertain environments. Here, we present a novel multisensory active inference (AIF) torque controller for industrial arms that shows how prediction can be used to resolve adaptation. Our controller, inspired by the predictive brain hypothesis, improves...
journal article 2023
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Ibrahimli, N. (author), Ledoux, H. (author), Kooij, J.F.P. (author), Nan, L. (author)
We propose an enhancement module called depth discontinuity learning (DDL) for learning-based multi-view stereo (MVS) methods. Traditional methods are known for their accuracy but struggle with completeness. While recent learning-based methods have improved completeness at the cost of accuracy, our DDL approach aims to improve accuracy while...
journal article 2023
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Zhu, S. (author), Yarovoy, Alexander (author), Fioranelli, F. (author)
The problem of instantaneous ego-motion estimation with mm-wave automotive radar is studied. DeepEgo, a deep learning-based method, is proposed for achieving robust and accurate ego-motion estimation. A hybrid approach that uses neural networks to extract complex features from input point clouds and applies weighted least squares (WLS) for...
journal article 2023
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Dharmarathne, Gayan (author), Nane, G.F. (author), Robinson, Andrew (author), Hanea, Anca M. (author)
Mathematical aggregation of probabilistic expert judgments often involves weighted linear combinations of experts’ elicited probability distributions of uncertain quantities. Experts’ weights are commonly derived from calibration experiments based on the experts’ performance scores, where performance is evaluated in terms of the calibration and...
journal article 2023
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Brederode, L.J.N. (author), Pel, A.J. (author), Wismans, Luc (author), Rijksen, Bernike (author), Hoogendoorn, S.P. (author)
This paper presents an efficient solution method for the matrix estimation problem using a static capacity constrained traffic assignment (SCCTA) model with residual queues. The solution method allows for inclusion of route queuing delays and congestion patterns besides the traditional link flows and prior demand matrix whilst the...
journal article 2023
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Wu, Jiansong (author), Cai, Jitao (author), Liu, Z. (author), Yuan, S. (author), Bai, Yiping (author), Zhou, Rui (author)
As an effective way to facilitate the increasing demand for reliable infrastructure, energy supply and sustainable urban development, underground utility tunnels have been developed rapidly in recent years. Due to the widespread distribution of utility tunnels, the safe operation of natural gas pipelines accommodated in utility tunnels has...
journal article 2023
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Men, Jinkun (author), Chen, Guohua (author), Reniers, G.L.L.M.E. (author), Rao, Xiaohui (author), Zeng, Tao (author)
Liquid storage tanks play a vital role in the modern chemical process industry (CPI). The strong ground motion caused by large-scale earthquakes may easily impose severe structural damage on liquid storage tanks, leading to a series of catastrophic cascaded events. The seismic damage estimation of liquid storage tanks is a challenging problem,...
journal article 2023
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Haberfehlner, Helga (author), van de Ven, Shankara S. (author), van der Burg, Sven A. (author), Huber, Florian (author), Georgievska, Sonja (author), Aleo, Ignazio (author), Harlaar, J. (author), Bonouvrié, Laura A. (author), van der Krogt, Marjolein M. (author), Buizer, Annemieke I. (author)
Introduction: Video-based clinical rating plays an important role in assessing dystonia and monitoring the effect of treatment in dyskinetic cerebral palsy (CP). However, evaluation by clinicians is time-consuming, and the quality of rating is dependent on experience. The aim of the current study is to provide a proof-of-concept for a machine...
journal article 2023
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Pasqualetto Cassinis, L. (author), Park, Tae Ha (author), Stacey, Nathan (author), D'Amico, Simone (author), Menicucci, A. (author), Gill, E.K.A. (author), Ahrns, Ingo (author), Sanchez-Gestido, Manuel (author)
This paper introduces an adaptive Convolutional Neural Network (CNN)-based Unscented Kalman Filter for the pose estimation of uncooperative spacecraft. The validation is carried out at Stanford's robotic Testbed for Rendezvous and Optical Navigation on the Satellite Hardware-In-the-loop Rendezvous Trajectories (SHIRT) dataset, which simulates...
journal article 2023
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Khodabandeh, A. (author), Teunissen, P.J.G. (author)
Carrier phase signals are considered among the key observations in global navigation satellite systems (GNSSs) and several other high-precision interferometric measurement systems. However, these ultra-precise measurements are not fully exploited when the integerness of their inherent ambiguities is discarded during the estimation process....
journal article 2023
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Yuan, S. (author), Zhu, S. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
The problem of estimating the 3D ego-motion velocity using multi-channel FMCW radar sensors has been studied. For the first time, the problem of ego-motion estimation is treated using radar raw signals. A robust algorithm using multi-channel FMCW radar sensors to instantly determine the complete 3D motion state of the ego-vehicle (i.e.,...
journal article 2023
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Irmak, T. (author), Pool, D.M. (author), de Winkel, K.N. (author), Happee, R. (author)
The human motion perception system has long been linked to motion sickness through state estimation conflict terms. However, to date, the extent to which available perception models are able to predict motion sickness, or which of the employed perceptual mechanisms are of most relevance to sickness prediction, has not been studied. In this...
journal article 2023
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Ndam Njikam, Mohamed Moustapha (author), Yem, Mbida (author), Ribodetti, Alessandra (author), Mohamed, Ahmed (author), Soumah, Aboubacar (author), Junior, Moaboulou Prosper (author), Alarifi, Saad S. (author), Abdelrady, Ahmed (author)
The present work used the electrical resistivity approach to conduct a three-dimensional modeling and initial volume estimation of the limestone layer in the Mintom region located in southern Cameroon. In order to achieve the objectives of the study, a total of 21 electrical soundings spaced 250 m were first collected in the field using the...
journal article 2023
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Sadegh Nojehdeh, Parvaneh (author), Khodabandeh, Amir (author), Khoshelham, Kourosh (author), Amiri Simkooei, A. (author)
The provision of accurate ionospheric corrections in PPP-RTK enormously improves the performance of single-receiver user integer ambiguity resolution (IAR), thus enabling fast high precision positioning. While an external provider can disseminate such corrections to the user with a time delay, it is the task of the user to accurately time...
journal article 2023
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Guo, M. (author), De Persis, Claudio (author), Tesi, Pietro (author)
We consider data-driven control of input-affine systems via approximate nonlinearity cancellation. Data-dependent semi-definite program is developed to characterize the stabilizer such that the linear dynamics of the closed-loop systems is stabilized and the influence of the nonlinear dynamics is decreased. Because of the additional...
journal article 2023
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Lopuhaä, H.P. (author), Gares, Valerie (author), Ruiz-Gazen, Anne (author)
We provide a unified approach to S-estimation in balanced linear models with structured covariance matrices. Of main interest are S-estimators for linear mixed effects models, but our approach also includes S-estimators in several other standard multivariate models, such as multiple regression, multivariate regression and multivariate...
journal article 2023
Searched for: subject%3A%22estimation%22
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