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  • Boston, MA

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  1. LiDAR-SLAM-using-LeGO-LOAM LiDAR-SLAM-using-LeGO-LOAM Public

    Collected data using a pair of Velodyne VLP-16 LiDAR sensor mounted on Northeastern University's Autonomous Car (Nuance) and used LeGO-LOAM for real-time pose estimation.

    C++

  2. Sensor-fusion-of-GPS-and-IMU Sensor-fusion-of-GPS-and-IMU Public

    Executed sensor fusion by implementing a Complementary Filter to get an enhanced estimation of the vehicle’s overall trajectory, especially in GPS-deprived environments.

    MATLAB

  3. Camera-Mosaic Camera-Mosaic Public

    MATLAB

  4. Driver-for-IMU Driver-for-IMU Public

    MATLAB