Sensor Fusion

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Sensor fusion is the process of combining data from multiple sensors to create a more accurate understanding of the world than any single sensor could provide on its own. Different sensors capture different types of information and have their own limitations. For example, a camera can provide detailed visuals but may struggle in low light. By blending their outputs, sensor fusion fills in gaps and reduces uncertainty.

Fusion can happen at several points in the pipeline, depending on how the system is designed. In robotics and autonomous vehicles, it’s used to support tasks like locating the robot, detecting obstacles, and tracking moving objects. Because real environments are unpredictable, the fusion system must remain reliable even when some sensors are partially blocked.

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