Radio signal-based (indoor) localisation technique is important for IoT applications such as smart factory and warehouse. Through machine learning, especially neural networks methods, more accurate mapping from signal features to target positions can be achieved. However, different radio protocols, such as WiFi, Bluetooth, etc., have different features in the transmitted signals that can be exploited for localisation purposes. Also, neural networks methods often rely on carefully configured models and extensive training processes to obtain satisfactory performance in individual localisation scenarios. The above poses a major challenge in the process of determining neural network model structure, or hyperparameters, as well as the selection of training features from the available data. This paper proposes a neural network model hyperparameter tuning and training method based on Bayesian optimisation. Adaptive selection of model hyperparameters and training features can be realised with minimal need for manual model training design. With the proposed technique, the training process is optimised in a more automatic and efficient way, enhancing the applicability of neural networks in localisation.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Bayesian optimisation-Assisted Neural Network Training Technique for Radio Localisation


    Beteiligte:
    Liu, Xingchi (Autor:in) / Li, Peizheng (Autor:in) / Zhu, Ziming (Autor:in)


    Erscheinungsdatum :

    01.06.2022


    Format / Umfang :

    350561 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Bayesian Optimisation for Safe Navigation Under Localisation Uncertainty

    Oliveira, Rafael / Ott, Lionel / Guizilini, Vitor et al. | British Library Conference Proceedings | 2017


    Bayesian Object Localisation in Images

    Sullivan, J. / Blake, A. / Isard, M. et al. | British Library Online Contents | 2001


    Particle swarm optimisation base on Monte Carlo localisation for mobile sensor network

    Zhao,C.X. / Wang,R.C. / Anhui Normal Univ.,CN et al. | Kraftfahrwesen | 2012


    CONTROL AND NAVIGATION SYSTEMS, POSE OPTIMISATION, MAPPING, AND LOCALISATION TECHNIQUES

    KARACHALIOS KONSTANTINOS / NIKOLAIDIS DIMITRIOS / DRISCOLL-LIND KEVIN et al. | Europäisches Patentamt | 2020

    Freier Zugriff

    CONTROL AND NAVIGATION SYSTEMS, POSE OPTIMISATION, MAPPING, AND LOCALISATION TECHNIQUES

    KARACHALIOS KONSTANTINOS / NIKOLAIDIS DIMITRIOS / DRISCOLL-LIND KEVIN et al. | Europäisches Patentamt | 2024

    Freier Zugriff