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    Arshad-Engineer/README.md
    • 👋 Hi, I’m @Arshad-Engineer
    • 👀 I’m interested in Robotics, Computer Vision, Avionics, Aerospace, Control Systems and Self Driving Vehicles
    • 🌱 I’m currently pursuing Master of Engineering in Robotics at University of Maryland, College Park, United States
    • 💞️ I’m looking to collaborate on projects on the above topics
    • 📫 You can reach me at: arsh402@gmail.com

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    1. Human-Detection-and-TrackerHuman-Detection-and-TrackerPublic

      Forked from stark-2000/Mono-Camera-Human-Pose-Estimation-and-Tracking-using-openCV

      C++

    2. Autonomous-Robot-Path-Planning-Dijkstra-algorithmAutonomous-Robot-Path-Planning-Dijkstra-algorithmPublic

      Python

    3. Noisy-LIDAR-point-cloud-data-Processing---Surface-FittingNoisy-LIDAR-point-cloud-data-Processing---Surface-FittingPublic

      Given are two csv files, pc1.csv and pc2.csv, which contain noisy LIDAR point cloud data in the form of (x, y, z) coordinates of the ground plane. Find best surface fit

      Python 4 1

    4. Building-Autonomous_Robot-from-Ground-UpBuilding-Autonomous_Robot-from-Ground-UpPublic

      Autonomously pick red, green, and blue blocks sequentially, and place in designated zone, in the arena

      Python

    5. Arrow-Detection-and-its-Orientation-Calculation-using-Raspberry-PiArrow-Detection-and-its-Orientation-Calculation-using-Raspberry-PiPublic

      The objective of this solution is to build upon our object tracking algorithms to identify the presence and orientation of a green arrow.

      Python 1

    6. Green-Traffic-Light-Detection-and-Tracking-with-the-Raspberry-Pi-and-OpenCVGreen-Traffic-Light-Detection-and-Tracking-with-the-Raspberry-Pi-and-OpenCVPublic

      We will explore the implementation of object tracking with the Raspberry Pi and OpenCV to simulate a camera used for navigation onboard an autonomous vehicle.

      Python