Detection and classification systems and methods for autonomous vehicle navigation

This invention describes a system that helps an autonomous vehicle map its surroundings by analyzing camera images. It specifically focuses on identifying road edges, like lane markings or curbs, by looking for particular vertical and horizontal patterns in the images. These patterns are then filtered and combined to create a map of the road boundaries.

Why it matters: Filed before the maturity of real-time deep learning for edge detection in autonomous vehicles. The specific image processing techniques described could now be implemented more robustly and efficiently using advanced AI models, leveraging increased computational power since 2018.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeavy software system, image processing

3 AI reinvention directions for this patent

See all three

AI gives you a few directions you could take this. Pick one, and we check whether your version is different enough to patent, then write the filing.

Reinvent this with AI

Where this one came from

Every morning we go through millions of abandoned patents and pick out 15 worth your time. This was one of today’s.

This one

+10