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Achievement: Starstruckx2Achievement: Pull Shark

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Achievement: Starstruckx2Achievement: Pull Shark

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MigVega/README.md
  • 👋 Hi, I’m Miguel.
  • 👀 I’m interested in SLAM, Localization and Mapping with or without reference maps (such as 3D BIM Models, point clouds or floor plans), LiDAR and Visual-inertial Odometry.
  • 🌱 I’m currently learning about sensor fusion and pose estimation.
  • 💞️ I want to collaborate on accurate long-term localization and mapping.
  • 📫 How to reach me: send me an email miguel.vega@tum.de

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  1. SLAM2REF SLAM2REF Public

    This project allows the alignment and correction of LiDAR-based SLAM session data with a reference map or another session, also the retrieval of 6-DoF poses with accuracy of up to 3 cm given an ac…

    C++ 94 2

  2. Ogm2Pgbm Ogm2Pgbm Public

    Robust BIM-based 2D-LiDAR Localization for Lifelong Indoor Navigation in Changing and Dynamic Environments

    C++ 185 30

  3. BIMCaP BIMCaP Public

    BIM-based AI-supported LiDAR-Camera Pose Refinement

    Python 7

  4. PC2VectorizedFloorPlan PC2VectorizedFloorPlan Public

    Allows the convertion of a semantically enriched point cloud into a vectorized-semantic floor plan.

    Python 1

  5. MappingSystem MappingSystem Public

    3D Mapping System: An open-source project providing 3D-printable modular parts, sensor initialization scripts, and SLAM system integration for creating versatile 3D mapping solutions for both robot…

  6. BIM2SemanticPC BIM2SemanticPC Public

    Convert BIM models in IFC format to semantically enriched point cloud

    Python 1