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basavarajnavalgund/README.md

Hi there 👋

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  1. tracking-with-Unscented-Kalman-Filter tracking-with-Unscented-Kalman-Filter Public

    Object (e.g Pedestrian, biker, vehicles) tracking by Unscented Kalman Filter (UKF), with fused data from both lidar and radar sensors.

    Jupyter Notebook 1 1

  2. tracking-with-Extended-Kalman-Filter tracking-with-Extended-Kalman-Filter Public

    Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.

    C++ 2

  3. vehicle-localization vehicle-localization Public

    Implemented a C++ particle filter for real-time vehicle localization with only current visual observations and a map.

    C++ 7 1

  4. path_planning path_planning Public

    Implemented a simple real-time path planner in C++ to navigate a car around a simulated highway scenario

    C++ 3 1

  5. Workplace-Service-Robot Workplace-Service-Robot Public

    Autonomous Mobile Robot (AMR), a holonomic drive with 4 mecanum-wheels. It autonomously maps an environment, localizes itself, and navigate to pick-up and drop-off objects in a simulated environment.

    CMake 4 1

  6. Model-Predictive-Control Model-Predictive-Control Public

    This project is to use Model Predictive Control (MPC) to drive a car in a game simulator. The server provides reference waypoints (yellow line in the demo video) via websocket, and we use MPC to co…

    C++ 1 2