Communications of the ACM
Researchers Awarded $4.5 Million to Develop Non-GPS Location Finder
The computer vision-based navigation system will use multi-sensor inputs and geospatial databases to determine vehicle position.
Credit: Getty Images
The U.S. Army Research Laboratory has awarded the University of Central Florida a $4.5 million grant to develop a smart, computer vision-based navigation system for when GPS is unavailable or jammed.
The system will support navigation of ground vehicles by using artificial intelligence and machine learning to assess computer imaging of terrain captured by the vehicle and by unmanned aerial vehicles. Geospatial databases will be used to identify landmarks for correlation to imagery. Video will track object movements to estimate motion, combining positioning by triangulation and relative motion with artificial intelligence.
"This is all about navigating in GPS-denied environments," says UCF Assistant Professor Kyle Renshaw, the project's principal investigator.
The project award is for four years, with two years awarded now and a two-year option for Army Research Labs to continue funding the work.
From University of Central Florida
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