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1–17 von 17 Ergebnissen
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    GMR-RRT*: Sampling-Based Path Planning Using Gaussian Mixture Regression

    Wang, Jiankun / Li, Tingguang / Li, Baopu et al. | IEEE | 2022
    the planning quality (evaluated with time cost and path length) cannot be guaranteed. In this paper, based on Gaussian Mixture Regression (GMR ...

    Open crack depth evaluation using eddy current methods and GMR detection

    Pasadas, D. J. / Ribeiro, A. Lopes / Rocha, T. J. et al. | IEEE | 2014

    Evaluation of crack depth using eddy current techniques with GMR-based probes

    Menezes, Ruben / Ribeiro, Artur L. / Ramos, Helena G. | IEEE | 2015
    giant magnetoresistance-based sensor to measure the resultant magnetic field on the plate surface. To validate and better insight the ...

    Characterization of magnetic actuators by measuring of magnetic stray fields with GMR-sensors

    Brela, Matthaeus / Kassim, Najdet / Franke, Joerg | IEEE | 2013
    magnetoelectronic GMR-elements outside the circuit. GMR sensors are particularly suited due to their measurement range and their linearity. Their ...

    Compact Busbar-Integrated Current Sensing using 2D Magnetoresistive Point Field Detectors in Power Electronic Systems

    Alvi, Muhammad H. / Sheng, Minhao / Lorenz, Robert D. et al. | IEEE | 2018
    current sensing using Giant Magnetoresistance (GMR) Point Field Detectors (PFDs) has been demonstrated. In this paper, submillimeter 2D Tunnel ...

    Development and Evaluation of Two Learning-Based Personalized Driver Models for Pure Pursuit Path-Tracking Behaviors

    Li, Zirui / Wang, Boyang / Gong, Jianwei et al. | IEEE | 2018
    . Based on Gaussian Mixture Model (GMM), one stochastic driver model is the velocity-based Gaussian Mixture Regression (GMR) approach established ...

    Transfer Learning for Driver Model Adaptation in Lane-Changing Scenarios Using Manifold Alignment

    Lu, Chao / Hu, Fengqing / Cao, Dongpu et al. | IEEE | 2020
    regression (GMR), can be applied to train the model for the target driver. Data collected from a driving simulator and realistic driving scenes are ...

    GMRAM: giant magneto-resistance random-access memory

    Katti, R.R. / Kaakani, H. | IEEE | 2000
    layers of common ferromagnetic materials to write digital data and the giant magneto-resistance (GMR) effect to read stored data. The direction ...

    Towards flexible magnetoelectronics for robotic applications

    Heidari, Hadi / Liu, Fengyuan / Dahiya, Ravinder | IEEE | 2017
    devices (e.g. Hall, GMR, AMR and TMR) have been studied and their suitability for flexible application has been presented. Further, the system ...

    Die Level Sensor Integration in SiC Power Modules

    Sheng, Minhao / Alvi, Muhammad H. / Lorenz, Robert D. | IEEE | 2018
    Giant magnetoresistive (GMR) detectors have been integrated in terminals of 2-in-1 Si IGBT modules for galvanically isolated current ...

    A personalized curve driving model for intelligent vehicle

    Xie, Jianming / Gong, Jianwei / Wu, Shaobin et al. | IEEE | 2017
    acceleration/deceleration model based on the GMM/GMR and a speed tracking algorithm. The model is trained with the human driving data and curve road ...

    Radiation hardened memory development at Honeywell

    Kaakani, H. | IEEE | 2001
    products. This paper covers plans and results of our SOI technology development programs for SRAM products and giant magneto resistive (GMR) non ...

    Measurement of in-situ currents in a hybrid electric vehicle integrated power module using giant magnetoresistive sensors

    Bohn, T.P. / Lorenz, R.D. / Olson, E.R. | IEEE | 2004
    measurement of that branch current. A highly sensitive giant magneto resistive effect (GMR) point field detector is used for in-situ current ...

    Research on Intelligent Engine Control of Unmanned Tracked Vehicle Based on Position Electronic Governor

    Ye, Kunhong / Chen, Huiyan / Zhang, Ruizeng et al. | IEEE | 2020
    performance of engine response. Meanwhile, the GMR model is used to estimate the vehicle steering radius and the steering load. In the process of ...

    Learning and Generalizing Motion Primitives From Driving Data for Path-Tracking Applications

    Wang, Boyang / Li, Zirui / Gong, Jianwei et al. | IEEE | 2018
    upper-level. The Gaussian Mixture Model (GMM) is utilized to represent the primitives and Gaussian Mixture Regression (GMR) is selected to ...

    Advanced MO materials and storage devices toward 100 Gb/in/sup 2/

    Ohta, N. / Awano, H. | IEEE | 2001
    like such as giant magneto resistance (GMR). As a solution, the magnetic domain expansion readout method has already been proposed. ...

    Transferable Driver Behavior Learning via Distribution Adaption in the Lane Change Scenario*

    Li, Zirui / Gong, Cheng / Lu, Chao et al. | IEEE | 2019
    Gaussian mixture regression (GMR), the proposed methods show a better performance in the decision making of lane keep/change and the prediction of ...