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carlostojal/README.md

Hi! I'm Carlos

  • 🎓 I'm currently finishing my BSc. in Computer Science and Engineering at the Polytechnic University of Leiria
  • 🏎️ I lead the autonomous driving department of my university's Formula Student Team, LART. I also do development, mainly in the perception area:
    • Train an object detection neural network in a custom dataset (FSOCO)
    • Develop C++ software to use stereo imagery to classify cones and get its positions in 3D space
  • 🤖 I do research at the Robotics Laboratory of my university in the field of computer vision, more specifically sensor fusion using deep neural networks, at the moment:
    • Study the state-of-the-art in image processing neural networks
    • Study the state-of-the-art in point cloud processing neural networks
    • Study the application of Transformers to the multi-modal sensor fusion problem

Contacts: LinkedIn, Email

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  1. multitudinous multitudinous Public

    Jupyter Notebook 2

  2. NDT-Net NDT-Net Public

    PointNet-based point cloud processing neural network using normal distribution pre-processing.

    Python

  3. ndnetpp ndnetpp Public

    ND-Net++ is a PointNet++-based point cloud classification, part segmentation and semantic segmentation neural network. ND is an abbreviation for "Normal Distribution".

    Python 1

  4. FSLART/mapper_speedrun FSLART/mapper_speedrun Public

    Speedrun version of the local mapper, made in Python.

    Python

  5. ipleiria-robotics/CUPREDS_core ipleiria-robotics/CUPREDS_core Public

    C++ 1

  6. obj_detection_playground obj_detection_playground Public

    Object detection playground.

    Python