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Humanitarian Assistance and Disaster Response
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What is CMU HADR?
Disaster can strike at any place and at any time. To save lives, humanitarian assistance and disaster response (HADR) must be delivered as quickly as possible. How can Carnegie Mellon University aid in this mission?
CMU HADR unites the university’s interdisciplinary work on HADR. It brings the best and brightest together to create new capabilities that save lives. Our expertise in AI, robotics, machine learning, policy, and many other research areas drives new technology development that allows responders to act more swiftly and effectively during times of disaster. Whether it’s building robots for search and rescue, tracking the spread of disease, improving logistics for delivering relief, or using machine learning to assess damage, CMU HADR stands ready to help.
Researchers
CMU HADR includes faculty and staff from departments across the university.
Featured Research Project
xView 2 Challenge
The xView 2 Challenge applied computer vision and machine learning to analyze electro-optical satellite imagery before and after natural disasters to assess building damage. The competition’s sponsor was the Department of Defense’s Defense Innovation Unit (DIU). This technology is being used to assess building damage from wildfires in Australia and the United States.
xView 2 algorithms accurately detected damaged buidings from satellite images.