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Lidar Processing with MATLAB

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  • Опубликовано: 14 дек 2021
  • Learn how to use MATLAB to process lidar sensor data for ground, aerial and indoor lidar processing application. You will learn how to use MATLAB to:
    Import and visualize live and recorded lidar data
    Apply deep learning to lidar data
    Calibrate lidar and cameras
    Track objects in lidar
    Create 3-D maps and terrain maps using SLAM
    Generate C/C++ and GPU Code
    Highlights Include:
    Lidar Labeler App: Interactive, semi-automated, and custom automated labeling of lidar point clouds
    Lidar-Camera Calibration: Calibrate lidar and camera sensors to estimate cross-sensor coordinate transform
    Deep Learning for Lidar Point Cloud Processing: Use deep learning networks to detect and segment objects in lidar point cloud data
    Shape Fitting: Fit shape and track detected objects in a lidar point cloud sequence
    Feature Matching: Extract and match lidar point cloud features
    Lidar Object Tracking
    Simulating Lidar Sensor Data
    2-D Lidar Processing: Simulate and process 2-D laser scan data and estimate the pose between two scans
    Velodyne LiDAR Streaming: Connect and stream lidar point clouds from Velodyne LiDAR sensors
    Lidar File Readers: Support for Ibeo sensor, LAS, and LAZ file formats
    Code generation for CPU and GPU
    ___________________________________________________________
    Minhaj Falaki - Product Manager, MathWorks India
    ___________________________________________________________
    לנושאים נוספים ויצירת קשר:
    לאתר: www.systematic...
    לאירועים נוספים: www.systematic...
    לבלוג: www.systematic...
    לפייסבוק: / matlabisrael
    ללינקדין: / 1774805

Комментарии • 5

  • @meghashyamraju
    @meghashyamraju 2 года назад +3

    Crystal clear macha ... Proud that ur in Matlab

  • @melbin6604
    @melbin6604 2 года назад +1

    can you explain the aerial SLAM in detail step by step

  • @ericphantri96734
    @ericphantri96734 Год назад

    So even handheld processor like smartphone can do imediately lidar job with camera flash low intensity infrared and uv and white light opposist sweept for long range and ultrasound for close range sweep and aerial photograph capture sky bound signal and zoom out by camera then we could handle from 20 m to 1 km range prevention

  • @user-ko7ds1lc3c
    @user-ko7ds1lc3c 10 месяцев назад

    Are these MATLAB scripts publicly available?

  • @ericphantri96734
    @ericphantri96734 Год назад

    Tracking is overengineering cost cpu time wasted pulse is enough to know motion need no tracking