Award Data

It has become clear that the future of transportation will involve significant electrification. The simplicity of electric drive components, versatility in usable energy sources, and declining cost of energy storage devices contribute to moving the market in this direction. 5-10 minute charging of energy dense battery systems represents the next critical step forward. Despite the numerous advantag ...

The Weather Scout project will help to fill a significant gap in the current UAS ecosystem: sub-regional weather understanding aloft in urban, suburban, and rural environments. Flying Weather Scouts of mission-appropriate sizes/strengths mounted with mission-appropriate sensors (e.g., LIDAR, anemometer, EO/IR, etc.) will capture critical environmental data (e.g., winds, icing, visibility, etc.) to ...

The FLITE Core Cloud System (FCCS) project will help to fill a significant gap in the current UAS ecosystem: a need for intelligent UAS traffic management (UTM) components with in-flight risk mitigation for low-altitude UAS. ADP has obtained a license to implement and commercialize the NASA UTM patent, which describes the intelligent UTM NASA considers critical to the next 100+ years of UAS flight ...

We propose to validate technologies that have wide applicability in keeping ORBs safe from collision with uncooperative aircraft in the National Air Space (NAS). Through Phase I we will illustrate using simulation and flight experiments how performance and reliability can be scaled for a wide range of aircraft, leading to certified systems for government and commercial usage. We will show how a se ...

  Urban Air Mobility operations presents new challenges to ensure the safe and efficient operations for both commercial and military applications. Similar to manned aviation, these  include communications assurance, navigation accuracy and surveillance (CNS) to ensure airspace safety but at altitudes that traditional CNS systems do not scale down to. Crucially, UAM needs to address the significa ...

Previous attempts to integrate neural networks, artificial intelligence (AI,), sensors, and Orbs in the Urban Air Mobility (UAM) market have not been successful. Prior approaches have been impractical to the needs of the Air Force (AF) customer and end-user, and have not validated the product-market fit between prior solutions, AF stakeholders, and commercial UAM markets. VISIMO's novel appro ...

It has become clear that the future of transportation will involve significant electrification. The simplicity of electric drive components, versatility in usable energy sources, and declining cost of energy storage devices contribute to moving the market

Despite significant advances in Digital Engineering (DE) and Machine Learning (ML) technologies, the adoption of such is still slow for existing weapon systems.  A ML empowerment Chart-Mining Toolset (CMT) is a key enabling technology that offers speed/ag

Machine Learning (ML) is rapidly advancing, but one challenge stands in the way: a lack of high-quality training data. No matter how advanced an algorithm, it cannot learn without good data. ML algorithms require large quantities of data with task-specific metadata, such as data type, subject, and annotations. High-quality, annotated GIS data are notoriously difficult to find. Building usable da ...

To advance state-of-the-art (SOTA) landscape and object synthetic data generation through the development of a generative adversarial network (GAN), to produce infinite training data compatible with bi-directional mapping, dynamic multi-object tracking, and baseline obfuscation use cases. When commercialized and applied to scale, this technology will enable a variety of industries, from agricult ...