Real-time detection of lanes and boundaries by autonomous vehicles

This system helps self-driving vehicles understand their surroundings by processing camera images. It uses a neural network to identify and categorize lane markings on the road, creating a detailed pixel-by-pixel map. From this map, the system generates precise lane boundaries that the vehicle then uses for navigation.

Why it matters: Filed before current neural network architectures and edge computing hardware made real-time, high-accuracy segmentation more efficient and accessible for in-vehicle deployment.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedNeural network software, sensor integration, vehicle navigation

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