A system uses reflected signals, like from a laser, to create a 3D map of its surroundings. It then analyzes this map to find the outlines or edges of objects, rather than just their flat surfaces. By connecting these detected edges, the system can recognize and define individual objects in the environment.
Why it matters: Lidar hardware has become cheaper and more compact since 2018, making data acquisition easier. Advances in AI and machine learning for point cloud processing offer more robust and efficient edge and object detection than previously possible.
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