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New AI creates bird’s-eye view map faster, brings safer autonomous vehicles a step closer


Credit: University of Surrey

Award-winning analysis from the University of Surrey that makes use of synthetic intelligence (AI) to immediately and precisely translate two-dimensional photos right into a hen’s-eye view map sooner, brings the prospect of safer autonomous autos nearer to actuality.

Surrey’s new AI mannequin produces outcomes which are 15% extra correct than different applied sciences in the marketplace.

Avishkar Saha, co-author of the research on the University of Surrey, mentioned, “Security is among the key hurdles stopping autonomous autos from turning into a actuality. It’s essential for such autos to construct maps of the world immediately and precisely, in order that they know the place it’s secure to drive.

“Our model exploits the one-to-one correspondence between a vertical line in an image and rays passing through the camera location in an overhead map. This allows our technology to treat an image in a similar way that artificial intelligence solves language translations.”

The expertise, developed by the Heart for Imaginative and prescient Speech and Sign Processing(CVSSP) at University of Surrey, makes use of comparable rules to language translation methods (natural language processing) to transform a person column of pixels in an image into one ray alongside a map.

The analysis paper, which gained the distinguished Excellent Paper Award at this 12 months’s IEEE Worldwide Convention on Robotics and Automation, is a part of the University of Surrey’s drive to enhance SLAM (simultaneous localization and mapping) expertise of autonomous autos.

Credit: University of Surrey

Professor Richard Bowden, co-author of the research on the University of Surrey, mentioned, “This is part of a larger piece of work into autonomous vehicles and perception and we are very pleased that our research has been recognized with this highly prestigious accolade. We have been extending Avi’s approach into a full Simultaneous Localization and Mapping (SLAM) system that will allow vehicles to navigate safely without an expensive LIDAR. Achieving autonomy using only cameras is key to providing a low cost but safe solution.”


Increasing the lifespan and stability of solid-state lithium-ion batteries


Extra data:
Translating Photographs into Maps. openresearch.surrey.ac.uk/espl … tputs/99644666602346

Quotation:
New AI creates hen’s-eye view map sooner, brings safer autonomous autos a step nearer (2022, June 9)
retrieved 9 June 2022
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