This invention describes a system for creating detailed digital maps of intersections specifically for self-driving cars. It works by taking an existing road map, identifying all the places where different lane segments might cross or conflict, and then using that conflict information to automatically define the boundaries and structure of an intersection. This refined intersection data is then added back to the vehicle's map, with the claims specifying that this process is performed by the autonomous vehicle itself.
Why it matters: The continuous advancement in AI-driven spatial reasoning and geometric deep learning since 2021 makes the automated identification and structuring of complex intersection data more robust and efficient. This technology is increasingly critical as autonomous vehicles push for higher levels of autonomy in diverse urban environments.
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