This invention describes a system for autonomous machines that combines information from multiple sensors, like cameras or radar, to create a clearer and more accurate understanding of its surroundings. It works by first having individual artificial intelligence models process data from each sensor. Then, a central AI model takes all these individual results and intelligently merges them, especially where sensors overlap, to remove errors or duplicate observations and provide a unified, reliable picture.
Why it matters: Filed when AI models for autonomous systems were rapidly evolving. The continued acceleration of AI research and more efficient neural network architectures since 2023 could make the complex fusion model described here more practical and performant for real-time autonomous applications.
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