The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Several tensor-based models have been presented in literature for parameterizing the water diffusion in Diffusion-Weighted MRI datasets, namely Diffusion Tensor Imaging (DTI), Generalized Tensor Imaging (GTI), and Diffusion Kurtosis Imaging (DKI). In this paper we use homogeneous trivariate polynomials to show that GTI is a special case of DKI for single angular shell acquisitions, and then we employ...
Road recognition is one of the key technologies in the vision-based intelligent navigation system. In this paper, we present a novel non-parametric estimation model and a robust approach for the unstructured road recognition. The model keeps a set of sample for both road region and off-road region, and then estimates the probability of a newly pixel based on color information. For improving the real...
The quantum Kalman filter has enough specification for accurate estimation and control in linear quantum systems, though this holds only in the case when the system parameters are completely known as in the classical case. In this paper, we consider an optical system containing an uncertain parameter in the probe-laser and propose a robust filtering scheme against this uncertainty. The filter estimates...
This paper proposes a method for the estimation of heat capacities in cooking devices, particularly rice cookers. In this method, the response to ON-OFF control of the cooking device is used as characteristic data, and the heat capacity is estimated in terms of a minimal cooking unit in the characteristic data space. The ON-OFF control is based on a single threshold irrespective of the heat capacity...
In this paper, we build on the RANSAC method to detect multiple instances of objects in an image, where the objects are modeled as curvilinear segments with distinct endpoints. Our approach differs from previously presented work in that it incorporates soft constraints, based on a dense image representation, that guide the estimation process in every step. This enables (1) better correspondence with...
The accuracy of optical flow estimation algorithms has been improving steadily as evidenced by results on the Middlebury optical flow benchmark. The typical formulation, however, has changed little since the work of Horn and Schunck. We attempt to uncover what has made recent advances possible through a thorough analysis of how the objective function, the optimization method, and modern implementation...
This paper addresses robust estimation of the uncalibrated visual-motor Jacobian for an image-based visual servoing (IBVS) system. The proposed method does not require knowledge of model or system parameters and is robust to outliers caused by various visual tracking errors, such as occlusion or mis-tracking. Previous uncalibrated methods are not robust to outliers and assume that the visual-motor...
Many measurement applications, in particular for biological, biomedical and biochemical systems, deals with the problem that only short data records are available. This problem implies that many powerful statistical tools are not applicable since these tools are based on asymptotic results. No user-friendly guidelines are available when dealing which such sparse datasets.In contrast to an estimator,...
Robust speaking rate estimation can be useful in automatic speech recognition and speaker identification, and accurate, automatic measures of speaking rate are also relevant for research in linguistics, psychology, and social sciences. In this study we built a broad phonetic class recognizer for speaking rate estimation. We tested the recognizer on a variety of data sets, including laboratory speech,...
When searching for robust optimal solutions in evolutionary optimization, a criterion for robustness estimation is needed. An expectation-based approach and a variance-based approach are highlighted in this paper. Experiments are conducted on a single-objective test function adopting three unequal values of dimension size, solved by an chaotic evolutionary algorithm. In both former low-dimensional...
In this paper, we develop a robust hybrid estimation algorithm for the Stochastic Linear Hybrid System (SLHS) with unknown continuous fault inputs. Most existing estimation algorithms for hybrid systems with fault inputs are designed such that every faulty mode is modeled as a discrete state, which incurs a large number of the discrete states in the estimation model. The proposed algorithm overcomes...
This paper proposes the novel robust SRR algorithm that can be effectively applied on the sequence that are corrupted by various noise models and can be applied on the real or standard sequence. First, the proposed SRR algorithm is based on the Geman&McClure norm that used for measuring the difference between the projected estimate of the high quality image and each low high quality image and...
A novel cooperative localization algorithm for wireless sensor networks (WSNs) using robust estimation is proposed. We divide the WSN into different layers and each layer builds its local coordinates. In this context, we study how to build the local coordinates based on realistic assumptions and the geometrical dilution of precision (GDOP) of the network. We introduce a modified network adjustment...
Traversability analysis is a significant and challenging problem for planetary rover's navigation and safeguard on rocky and bumpy terrain. Moreover, the growing requirement for the micro rover in future planetary missions demands robust traversability analysis upon limited sensors and field of perception. In this paper, a framework for stereo based terrain mapping and traversability analysis in autonomous...
A moving horizon estimation (MHE) method of the constrained system with uncertain measurement output and norm-bounded parameter uncertainties is proposed. Based on the probability of known error of the output signal, the initial state variables and disturbance are estimated by minimizing performance object at each sampling moment. The estimation values of the state variables are calculated by the...
This paper presents the study of vocal videostroboscopic videos to detect morphological pathologies using a combination of motion information and segmentation. The motion permits us to obtain the keyframes of total (or minimum) closure and maximum opening and to have the initialization for the segmentation process. The segmentation is made analyzing the image textures applying Gabor filtering. After...
The problem of robust system identification with corrupted data remains a difficulty. In this paper we shall put ourselves in the prediction error framework. We shall present a mixed L1-L2 estimator based on a parameterized objective function leading to an alternative solution fighting against the outliers, based on the well-known Huber's M-estimate. A simple physical insight on the main noise characteristics...
Usually, the identification of the dynamic parameters of robot makes use of the inverse dynamic model which is linear with respect to the parameters. This model is sampled while the robot is tracking exciting trajectories. This allows using linear least squares (LS) techniques to estimate the parameters. The efficiency of this method has been proved through experimental identifications of a lot of...
There are, in practice, so many control systems possesses this kind of special feature, e.g., ballistic missile's maneuver couples with wind gusts, acceleration signal measured by accelerometers couples with the external and internal noises, and so on. Generally, the input signal u(k) is always assumed as an exactly known variable and never corrupted with noise; hence one is capable of dealing with...
In this work, we present a technique for robust estimation, which by explicitly incorporating the inherent uncertainty of the estimation procedure, results in a more efficient robust estimation algorithm. In addition, we build on recent work in randomized model verification, and use this to characterize the `non-randomness' of a solution. The combination of these two strategies results in a robust...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.