NASA DRF (Data and Reasoning Fabric) Provide data and AI decision support tools to realize the full potential of future air mobility
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The data & reasoning fabric (drf) provides AI-based decision support tools to enhance drone delivery solutions in complex urban environments. It leverages edge computing to process data locally, enabling faster decision-making and improved outcomes, such as quicker wildfire detection. Collaborations with various partners aim to integrate drf's technology into future air mobility and automated transportation systems.
NASA DRF (Data and Reasoning Fabric) Provide data and AI decision support tools to realize the full potential of future air mobility
- 1. Data & Reasoning Fabric (DRF) Provide data and AI decision support tools to realize the full potential of future air mobility Challenge - Cities are congested, complicated places to fly for drone-based delivery solutions. - Tall buildings, weather conditions, airspace traffic, and other factors present challenges for delivery drones and their operators. - These dynamic challenges must be overcome to realize the advantages of uncrewed, remote transportation whether it is for packages or people. Team Observes How Drones Fight Wildfire Expected Impacts -Deliver groundbreaking technology which seamlessly connects data to decision-making through an interwoven “fabric” of intelligence that sends aircraft specific, tailored information, wherever they are. - Help autonomous airborne activities safely meet their full potential for society’s benefit, especially those currently underserved by aviation. Partners and/or Participants • Local and federal governments • Flight operators • Data, Reasoning and Infrastructure Service Providers Solution - DRF helps assemble diverse sets of data from various providers, which are enhanced by reasoning services powered with artificial intelligence, to make sense of the complex and dynamic airspace. - DRF uses edge computing to handle, process, and store data locally rather than through a cloud or data center. This reduces delays associated with transmitting large sets of data and allows for faster decision-making in time- sensitive situations. Results - Collaborated with Civil Air Patrol (CAP) – California Wing to enhance CAP’s mission critical decision making. Using simulated drone flights, DRF technology helped CAP locate lightning-induced wildfires more quickly than usual. - Tested DRF prototype system in a simulated urban area in partnership with members from Autonomy Association International, academia, industry, OGA, communities, tribal nations, and more than 22 cities. - Integrating concepts into the ATM-X/UAM and ATM-X/DIP projects. DRFconnectsdatatodecision-making DRF Core is an open and scalable framework Next Steps Testing stages for D-R-F to help missions like medical package delivery and wildfire detection. POCs: Ken Freeman, Supreet Kaur, Aditya Das DRFhelpsdronesnavigatecomplicatedcites