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Labeling point clouds is one of the most tedious tasks in deep learning workflows for LiDAR. So MATLAB is providing a LiDAR Labeler app in LiDAR toolbox which alleviates some of the most common pain points of point cloud labeling. In this video, Iamp;#39;ll show you how to label your point cloud data using LiDAR Labeler app for applications like autonomous driving, robotics, and augmented reality. Weamp;#39;ll first see how to ground truth label point cloud for object detection. And then, weamp;#39;ll go over how to automate the labeling process. Letamp;#39;s start by opening the app from App menu. We can find the LiDAR Labeler app under Image Processing and Computer Vision section. Alternatively, we can open the app from command line by typing LiDAR Labeler. Weamp;#39;ll first load the point cloud into the app by clicking Add Point Clouds. You can also import labels from files, from Workspace, or you can open a session you have already saved before. We can load raw point clouds i