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IARPA Launches Challenge to Improve UAV-Captured Imagery


Representation of an award.

The Intelligence Advanced Research Projects Activity UG2 Prize Challenge aims to advance the analysis of images collected by unmanned aerial vehicles by improving image restoration and algorithm performance.

Credit: Unmanned Aerial Online

The U.S. Intelligence Advanced Research Projects Activity (IARPA) has recently announced the UG2 Prize Challenge for unmanned aerial vehicles (UAVs), gliders, and ground data entries.

The goal of the challenge is to advance the analysis of images collected by small UAVs by improving image restoration and algorithm performance.

"This prize challenge seeks to improve image quality via software techniques, which will allow more actionable intelligence from low-quality images, such as those off of a small, fixed-wing UAV," says IARPA program manager Chris Boehnen. "Analysts need these types of tools to sift through the large amounts of imagery they receive on a daily basis."

Within each challenge category, the first and second place scoring algorithms will be awarded prizes.  A total of $75,000 in prizes will be awarded.

IARPA notes it wants the challenge to attract a broad pool of researchers, from both domestic and international industry and academic institutions. Participants must submit their algorithms for evaluation to IARPA's challenge performer, the University of Notre Dame, by April 1.

From Unmanned Aerial Online
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