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  • CARIAD
  • Hamburg, Germany

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expectopatronm/README.md

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  1. MAFAT-RADAR-Challenge MAFAT-RADAR-Challenge Public

    The MAFAT challenge, by the Israeli Department of Defense. Deep Learning based approach to classify radar signatures of humans and animals.

    Jupyter Notebook 7 2

  2. Rommelag-Defect-Identification-Challenge Rommelag-Defect-Identification-Challenge Public

    Defect Identification Challenge to find an efficient and exact process for error detection in the production line using Computer Vision, Deep Learning or Classical Machine Learning based techniques.

    Jupyter Notebook 3

  3. platooning-demonstrator platooning-demonstrator Public

    A Platooning demonstrator consisting of a convoy of 1/10 scale RC cars. Deep Learning and Computer Vision concepts utilized and system implemented on the Jetson Nano.

    Jupyter Notebook 32 6

  4. accelerated-incremental-learning-with-support-vector-machines accelerated-incremental-learning-with-support-vector-machines Public

    Accelerated implementation of the SVM algorithm on an embedded SoC with changes to the algorithm structure to accommodate learning from large volumes of data in an incremental manner with approxima…

    VHDL 6 3

  5. Pepperl-Fuchs-Lidar-Classification-Challenge Pepperl-Fuchs-Lidar-Classification-Challenge Public

    To increase transparency and efficiency in intralogistics, we are looking for a solution to classify moving boxes in a production area. By using the latest 2D-Lidar technologies powered by Pepperl+…

    Jupyter Notebook 2

  6. lincoln-poinsettia-challenge lincoln-poinsettia-challenge Public

    The Lincoln Agri-Robotics Poinsettia Challenge is a machine learning and computer vision competition to devise intelligent ways to identify features that contribute to rating the "best" poinsettia

    Python 1