Leveraging recent deep learning advances with high resolution drone imagery, the team has developed state-of-the-art techniques for the automatic detection of buildings and roads from aerial imagery. N/LAB is now focusing on the extension of these techniques to also extract road conditions. Such information is typically obtained through on the ground surveying requiring significant human resources. Directly aiming to reduce the human and monetary cost within developing countries, the project aims to directly address the challenges these countries face jointly due to rapid road network evolution and limited resources.
Originally posted at http://neodem.wp.horizon.ac.uk/2017/09/28/transport-road-conditions/