This invention describes a system for a moving object, like a robot or vehicle, that uses multiple cameras to understand its surroundings. It includes at least one camera that can see in 3D (like human eyes) and another that sees in 2D. The system first figures out the cameras' positions and the environment, then decides which camera mode—3D or 2D—is best for gathering image data at that moment.
Why it matters: Filed before the latest wave of advancements in machine learning and edge computing. These improvements could significantly enhance the real-time environmental analysis and dynamic sensor selection required for autonomous systems.
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