• Advanced Institute of Engineering and Technology (AVITECH)

  • avitech@vnu.edu.vn

  • +84 24 3780 0150

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    • Research Projects

    Machine learning based beacon placement optimization for indoor robots localization

    Indoor localization systems usually consist of transceiver with fixed positions, which are called beacons. These beacons act as landmarks for localizing objects that need to be positioned. One can easily see that the positions of beacons have a great impact on the performance of the localization system. The problem of beacon placement optimization is to optimize the positions of beacons in order to maximize the performance of the localization system.

    The goal is to build a framework for beacon placement optimization for localization systems based on machine learning. The expected outcome is a procedure to place beacons optimally and apply it to construct and design real-world localization systems. Applying artificial intelligence for beacon placement is at its early stage and has not been fully investigated.


    Selected Publications

    Other information

    Contact: Tran Trong Duy.

    SAME CATEGORY

    EEG signal processing from the computer vision perspective

    In this work, we study the processing of EEG signals in the image domain, i.e., visualizing the signal in the binary image and applying computer vision techniques for signal smoothing and classification. Some research questions are being investigated: 1. How well can we smooth the signal in the image domain? Here, we plot the interested […]

    Vision-based crack detection with crack propagation modeling

    In this work, the propagation of cracks on some materials, such as concrete, is analyzed, the best-fit model of which is employed for vision-based crack detection. Some research questions are being investigated: 1. What is the correlation between simulated crack propagation and real-world crack? Here, we measure the fitting errors between best-fit regression models of […]

    Tensor tracking

    Tensor decomposition has been demonstrated to be successful in a wide range of applications, from neuroscience and wireless communications to social networks. In an online setting, factorizing tensors derived from multidimensional data streams is however non-trivial due to several inherent problems of real-time stream processing. In recent years, many research efforts have been dedicated to […]