Academic literature on the topic 'Error localisation'
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Journal articles on the topic "Error localisation"
Wang, Mei, Nan Duan, Zou Zhou, Fei Zheng, Hongbing Qiu, Xiaopeng Li, and Guoli Zhang. "Indoor PDR Positioning Assisted by Acoustic Source Localization, and Pedestrian Movement Behavior Recognition, Using a Dual-Microphone Smartphone." Wireless Communications and Mobile Computing 2021 (July 8, 2021): 1–16. http://dx.doi.org/10.1155/2021/9981802.
Full textBuehner, Mark, and Anna Shlyaeva. "Scale-dependent background-error covariance localisation." Tellus A: Dynamic Meteorology and Oceanography 67, no. 1 (December 2015): 28027. http://dx.doi.org/10.3402/tellusa.v67.28027.
Full textGórak, Rafał, and Marcin Luckner. "Automatic Detection of Missing Access Points in Indoor Positioning System †." Sensors 18, no. 11 (October 23, 2018): 3595. http://dx.doi.org/10.3390/s18113595.
Full textLINDERHOLT, A., and T. ABRAHAMSSON. "PARAMETER IDENTIFIABILITY IN FINITE ELEMENT MODEL ERROR LOCALISATION." Mechanical Systems and Signal Processing 17, no. 3 (May 2003): 579–88. http://dx.doi.org/10.1006/mssp.2002.1522.
Full textNeuland, Renata, Mathias Mantelli, Bernardo Hummes, Luc Jaulin, Renan Maffei, Edson Prestes, and Mariana Kolberg. "Robust Hybrid Interval-Probabilistic Approach for the Kidnapped Robot Problem." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 29, no. 02 (April 2021): 313–31. http://dx.doi.org/10.1142/s0218488521500141.
Full textYang, Jingdong, Jinghui Yang, and Zesu Cai. "An efficient approach to pose tracking based on odometric error modelling for mobile robots." Robotica 33, no. 6 (April 1, 2014): 1231–49. http://dx.doi.org/10.1017/s0263574714000654.
Full textDe Vos, Maarten, Lieven De Lathauwer, Bart Vanrumste, Sabine Van Huffel, and W. Van Paesschen. "Canonical Decomposition of Ictal Scalp EEG and Accurate Source Localisation: Principles and Simulation Study." Computational Intelligence and Neuroscience 2007 (2007): 1–10. http://dx.doi.org/10.1155/2007/58253.
Full textShi, Hongchi, Xiaoli Li, Yi Shang, and Dianfu Ma. "Error analysis of quantised RSSI based sensor network localisation." International Journal of Wireless and Mobile Computing 4, no. 1 (2010): 31. http://dx.doi.org/10.1504/ijwmc.2010.030973.
Full textSabra, Adham, and Wai-Keung Fung. "A Fuzzy Cooperative Localisation Framework for Underwater Robotic Swarms." Sensors 20, no. 19 (September 25, 2020): 5496. http://dx.doi.org/10.3390/s20195496.
Full textFriebel, Björn, Michael Schweins, Nils Dreyer, and Thomas Kürner. "Simulation of GPS localisation based on ray tracing." Advances in Radio Science 19 (December 17, 2021): 85–92. http://dx.doi.org/10.5194/ars-19-85-2021.
Full textDissertations / Theses on the topic "Error localisation"
Zaman, Munir uz. "Mobile robot localisation : error modelling, data synchronisation and vision techniques." Thesis, University of Surrey, 2006. http://epubs.surrey.ac.uk/844082/.
Full textLandsberg, David. "Methods and measures for statistical fault localisation." Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:cf737e06-9f12-44fa-94d2-a8d247ad808e.
Full textPrévost, Raoul. "Décodage et localisation AIS par satellite." Thesis, Toulouse, INPT, 2012. http://www.theses.fr/2012INPT0121/document.
Full textThe automatic identification system (AIS) is a system allowing ships and coast stations to exchange some information by VHF radio. This information includes the identifier, status, location, direction and speed of the emitter. The aim of this thesis is to allow the reception of AIS messages by low Earth orbit satellites without modifying the existing ship equipments. With this system, it becomes possible to know the position of all ships over the Earth. As a consequence, several new services become available, such as global traffic monitoring or determining boat location (for ship-owners). Satellite reception of AIS signals is subjected to a higher noise level when compared to ground level reception. This noise makes classical demodulation and decoding methods unusable. A first contribution of this thesis is to develop new demodulators using error correction methods. These demodulators take advantage of the presence of a cyclic redundancy check (CRC) block in the messages as well as known information about the structure of messages and data. Generalizations of the proposed receiver have also been studied in order to take into account the phase noise of the received signals and the possible collision of messages sent simultaneously by several vessels. The last part of this thesis is devoted to the study of localization methods for ships that do not transmit their location in AIS messages. This localization takes advantage of information contained in the received messages such as the propagation delay and the carrier frequency shift due to the Doppler effect, and a ship movement model
Thomas, Robin Rajan. "Optimisation of adaptive localisation techniques for cognitive radio." Diss., University of Pretoria, 2012. http://hdl.handle.net/2263/27076.
Full textDissertation (MEng)--University of Pretoria, 2012.
Electrical, Electronic and Computer Engineering
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Pečenka, Ondřej. "Výzkum vlivu rozložení vstupní chyby na průběh lokalizačního procesu WSN." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218263.
Full textBekkouche, Mohammed. "Combinaison des techniques de Bounded Model Checking et de programmation par contraintes pour l'aide à la localisation d'erreurs : exploration des capacités des CSP pour la localisation d'erreurs." Thesis, Nice, 2015. http://www.theses.fr/2015NICE4096/document.
Full textA model checker can produce a trace of counter-example for erroneous program, which is often difficult to exploit to locate errors in source code. In my thesis, we proposed an error localization algorithm from counter-examples, named LocFaults, combining approaches of Bounded Model-Checking (BMC) with constraint satisfaction problem (CSP). This algorithm analyzes the paths of CFG (Control Flow Graph) of the erroneous program to calculate the subsets of suspicious instructions to correct the program. Indeed, we generate a system of constraints for paths of control flow graph for which at most k conditional statements can be wrong. Then we calculate the MCSs (Minimal Correction Sets) of limited size on each of these paths. Removal of one of these sets of constraints gives a maximal satisfiable subset, in other words, a maximal subset of constraints satisfying the postcondition. To calculate the MCSs, we extend the generic algorithm proposed by Liffiton and Sakallah in order to deal with programs with numerical instructions more efficiently. This approach has been experimentally evaluated on a set of academic and realistic programs
Lu, Wenjie. "Contributions to Lane Marking Based Localization for Intelligent Vehicles." Thesis, Paris 11, 2015. http://www.theses.fr/2015PA112017/document.
Full textAutonomous Vehicles (AV) applications and Advanced Driving Assistance Systems (ADAS) relay in scene understanding processes allowing high level systems to carry out decision marking. For such systems, the localization of a vehicle evolving in a structured dynamic environment constitutes a complex problem of crucial importance. Our research addresses scene structure detection, localization and error modeling. Taking into account the large functional spectrum of vision systems, the accessibility of Open Geographical Information Systems (GIS) and the widely presence of Global Positioning Systems (GPS) onboard vehicles, we study the performance and the reliability of a vehicle localization method combining such information sources. Monocular vision–based lane marking detection provides key information about the scene structure. Using an enhanced multi-kernel framework with hierarchical weights, the proposed parametric method performs, in real time, the detection and tracking of the ego-lane marking. A self-assessment indicator quantifies the confidence of this information source. We conduct our investigations in a localization system which tightly couples GPS, GIS and lane makings in the probabilistic framework of Particle Filter (PF). To this end, it is proposed the use of lane markings not only during the map-matching process but also to model the expected ego-vehicle motion. The reliability of the localization system, in presence of unusual errors from the different information sources, is enhanced by taking into account different confidence indicators. Such a mechanism is later employed to identify error sources. This research concludes with an experimental validation in real driving situations of the proposed methods. They were tested and its performance was quantified using an experimental vehicle and publicly available datasets
Viandier, Nicolas. "Modélisation et utilisation des erreurs de pseudodistances GNSS en environnement transport pour l’amélioration des performances de localisation." Thesis, Ecole centrale de Lille, 2011. http://www.theses.fr/2011ECLI0006/document.
Full textToday, the GNSS are largely present in the transport field. Currently, the scientific community aims to develop transport applications with a high accuracy, availability and integrity. These systems offer a continuous positioning service. Performances are defined by the system parameters but also by signal environment propagation. The atmosphere propagation characteristics are well known. However, it is more difficult to anticipate and analyze the impact of the propagation environment close to the antenna which can be composed, for instance, of urban obstacles or vegetation.Since several years, the LEOST and the LAGIS research axes are driven by the understanding of the propagation environment and its use as supplementary information to help the GNSS receiver to be more pertinent. This approach aims to reduce the number of sensors in the localisation system, and consequently reduces its complexity and cost. The work performed in this thesis is devoted to provide more realistic pseudorange error models and reception channel model. After, a step of observation error characterization, several pseudorange error models have been proposed. These models are the finite gaussian mixture model and the Dirichlet process mixture. The model parameters are then estimated jointly with the state vector containing position by using adapted filtering solution like the Rao-Blackwellized particle filter. The noise model evolution allows adapting to an urban environment and consequently providing a position more accurate.Each step of this work has been tested and evaluated on simulation data and real data
Ménétrier, Benjamin. "Utilisation d'une assimilation d'ensemble pour modéliser des covariances d'erreur d'ébauche dépendantes de la situation météorologique à échelle convective." Thesis, Toulouse, INPT, 2014. http://www.theses.fr/2014INPT0052/document.
Full textData assimilation aims at providing an initial state as accurate as possible for numerical weather prediction models, using two main sources of information : observations and a recent forecast called the “background”. Both are affected by systematic and random errors. The precise estimation of the distribution of these errors is crucial for the performance of data assimilation. In particular, background error covariances can be estimated by Monte-Carlo methods, which sample from an ensemble of perturbed forecasts. Because of computational costs, the ensemble size is much smaller than the dimension of the error covariances, and statistics estimated in this way are spoiled with sampling noise. Filtering is necessary before any further use. This thesis proposes methods to filter the sampling noise of forecast error covariances. The final goal is to improve the background error covariances of the convective scale model AROME of Météo-France. The first goal is to document the structure of background error covariances for AROME. A large ensemble data assimilation is set up for this purpose. It allows to finely characterize the highly heterogeneous and anisotropic nature of covariances. These covariances are strongly influenced by the topography, by the density of assimilated observations, by the influence of the coupling model, and also by the atmospheric dynamics. The comparison of the covariances estimated from two independent ensembles of very different sizes gives a description and quantification of the sampling noise. To damp this sampling noise, two methods have been historically developed in the community : spatial filtering of variances and localization of covariances. We show in this thesis that these methods can be understood as two direct applications of the theory of linear filtering of covariances. The existence of specific optimality criteria for the linear filtering of covariances is demonstrated in the second part of this work. These criteria have the advantage of involving quantities that can be robustly estimated from the ensemble only. They are fully general and the ergodicity assumption that is necessary to their estimation is required in the last step only. They allow the variance filtering and the covariance localization to be objectively determined. These new methods are first illustrated in an idealized framework. They are then evaluated with various metrics, thanks to the large ensemble of AROME forecasts. It is shown that optimality criteria for the homogeneous filtering of variances yields very good results, particularly with the criterion taking the non-gaussianity of the ensemble into account. The transposition of these criteria to a heterogeneous filtering slightly improves performances, yet at a higher computational cost. An extension of the method is proposed for the components of the local correlation hessian tensor. Finally, horizontal and vertical localization functions are diagnosed from the ensemble itself. They show consistent variations depending on the considered variable and level, and on the ensemble size. Lastly, the influence of using heterogeneous variances into the background error covariances model of AROME is evaluated. We focus first on the description of the modelled covariances using these variances and then on forecast scores. The lack of realism of the modelled covariances and the negative impact on scores raise questions about such an approach. However, the filtering methods developed in this thesis are general. They are likely to lead to other prolific applications within the framework of hybrid approaches, which are a promising way in a context of growing computational resources
Vu, Dinh Thang. "Outils statistiques pour le positionnement optimal de capteurs dans le contexte de la localisation de sources." Phd thesis, Université Paris Sud - Paris XI, 2011. http://tel.archives-ouvertes.fr/tel-00638778.
Full textBooks on the topic "Error localisation"
Boer, A. de. Coorelation, error-localisation and updating of the second problem defined in GARTEUR AG11. Amsterdam: National Aerospace Laboratory, 1990.
Find full textBook chapters on the topic "Error localisation"
Lecomte, Christophe, J. J. Forster, B. R. Mace, and N. S. Ferguson. "Bayesian Damage Localisation at Higher Frequencies with Gaussian Process Error." In Topics in Model Validation and Uncertainty Quantification, Volume 4, 39–48. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-2431-4_4.
Full textTholen, Christoph, Lars Nolle, and Jens Werner. "On the Influence of Localisation and Communication Error on the Behaviour of a Swarm of Autonomous Underwater Vehicles." In Recent Advances in Soft Computing, 68–79. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97888-8_6.
Full textConference papers on the topic "Error localisation"
Collignon, Philippe, and Jean-Claude Golinval. "Reliable Mode Shape Expansion Method for Error Localisation and Model Updating." In ASME 1997 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/detc97/vib-4145.
Full textAlarcón, Daniel, and Rajeev Goré. "Efficient error localisation and imputation for real-world census data using SMT." In ACSW '16: Australasian Computer Science Week. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2843043.2843052.
Full textHall, Matthew L., Catherine E. Towers, and David P. Towers. "Correction of 3D localisation error of multiple objects in close-proximity in digital holography." In 3D Image Acquisition and Display: Technology, Perception and Applications. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/3d.2020.jw2a.14.
Full textAli, Rheeda L., Chris D. Cantwell, Norman A. Qureshi, Caroline H. Roney, Phang Boon Lim, Spencer J. Sherwin, Jennifer H. Siggers, and Nicholas S. Peters. "Automated fiducial point selection for reducing registration error in the co-localisation of left atrium electroanatomic and imaging data." In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2015. http://dx.doi.org/10.1109/embc.2015.7318775.
Full textDanieli, Guido A., G. Fragomeni, and E. Giuzio. "A Device for Driving a Wire or a Drill Precisely in a Given Direction Through a Point Under Closed Sky Conditions." In ASME 2001 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/imece2001/bed-23079.
Full textDempster, Andrew G., Binghao Li, and Ishrat Quader. "Errors in determinstic wireless fingerprinting systems for localisation." In 2008 3rd International Symposium on Wireless Pervasive Computing (ISWPC). IEEE, 2008. http://dx.doi.org/10.1109/iswpc.2008.4556177.
Full textEl-Mihoub, Tarek A., Lars Nolle, and Christoph Tholen. "On Localisation Errors and Cooperative Search for a Swarm of AUVs." In Global Oceans 2020: Singapore - U.S. Gulf Coast. IEEE, 2020. http://dx.doi.org/10.1109/ieeeconf38699.2020.9389227.
Full textZinoune, Clement, Philippe Bonnifait, and Javier Ibanez-Guzman. "A sequential test for autonomous localisation of map errors for driving assistance systems." In 2012 15th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2012). IEEE, 2012. http://dx.doi.org/10.1109/itsc.2012.6338833.
Full textRabaoui, Asma, Nicolas Viandier, Juliette Marais, and Emmanuel Duflos. "On the use of Dirichlet process mixtures for the modelling of pseudorange errors in multi-constellation based localisation." In 2009 9th International Conference on ITS Telecommunications (ITST). IEEE, 2009. http://dx.doi.org/10.1109/itst.2009.5399308.
Full textMüller, Simone, and Dieter Kranzlmüller. "Dynamic Sensor Matching for Parallel Point Cloud Data Acquisition." In WSCG'2021 - 29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision'2021. Západočeská univerzita, 2021. http://dx.doi.org/10.24132/csrn.2021.3002.3.
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