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This invention describes a system for autonomous vehicles focused on ensuring their sensors are working correctly. It uses at least two different types of sensors, like a camera and a radar, to monitor the environment. The system compares what these sensors detect with what they're expected to see, and if there's a mismatch, it identifies that a sensor is miscalibrated and generates a correction for it. This helps the self-driving vehicle make reliable decisions.
Why it matters: Filed before advanced AI/ML models for sensor fusion and anomaly detection were widely mature. These tools could now significantly enhance the accuracy and real-time capability of the described calibration process.
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