🎄 Welcome to Day 12 of our MATLAB Advent Calendar! 🎅 As we journey towards Christmas, I'm delighted to share daily insights from the world of MATLAB and Simulink. Today, let's explore LiDAR systems.

✨ LiDAR, an acronym for "Light Detection and Ranging," is a technology that uses laser pulses to measure distances, creating detailed 3D representations of environments. 🎁 This capability is crucial across various industries, including autonomous driving, robotics, and geosciences, as it enables precise environmental perception and mapping.

🔔 With MATLAB's Lidar Toolbox™, you can design, analyze, and test LiDAR processing systems. 🎄 The toolbox offers algorithms and apps for object detection, tracking, semantic segmentation, and more. It supports data streaming from sensors like Velodyne® and Ouster®, and provides tools for visualizing and processing point clouds. Additionally, it facilitates the training of machine learning and deep learning models for LiDAR data, streamlining the development of advanced perception systems. 🌟

🎁 Integrating LiDAR technology into your projects enhances the accuracy and reliability of environmental data, which is essential for developing robust autonomous systems and conducting detailed spatial analyses. 🎄

🎅 Stay tuned as we continue to unwrap more features and functionalities from MATLAB and Simulink in the days leading up to Christmas. Happy holidays! 🎉

For more information, please visit: https://www.mathworks.com/products/lidar.html

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