Award Data

Impaired driving due to alcohol and drugs is a significant public health and safety problem in the U.S. The detection and enforcement of impaired driving laws are key to reducing this problem. Virtual reality training has the potential to support law enforcement officers in obtaining the necessary knowledge and skills to effectively detect impaired drivers. DetectID will be an immersive, accessibl ...

The long endurance “StratoSonde” lighter-than-air, uncrewed system combines a low-cost, 5day endurance StratoSonde supports up to 10 micro-dropsondes, which when released from the HAB, descend safely through the entire atmospheric column under a ribbon drogue while reporting observations directly back to the HAB. This project will assess the feasibility of integrating a disposable miniature ae ...

Anuma Aerospace seeks to develop the conceptual design for, and determine the technical and economic feasibility of, a Persistently-Elevated, Gas-free, Aerostatic Sensor Utility System (PEGASUS), which will work like a data buoy in the sky, continuously collecting and transmitting weather data from the marine atmospheric boundary layer (ABL) with the data being made available via application progr ...

In Phase I we developed a software capability for predicting the future positions of ocean drifters. We demonstrated the capability to predict drift for objects of varying shapes and train models based on historical observations. In Phase II we will leverage this software to perform high volume experimentation through which we will fully develop trained models using historical data for both passiv ...

There is a clear need to improve weather forecasting accuracy. The greatest contributions to forecast uncertainty is a lack of meteorological observations over remote areas and areas experiencing pronounced convective activity. StratoSolutions’ new high-altitude balloon (HAB) platform with mini-dropsonde is a disruptive new uncrewed meteorological observation data source able to collect data at ...

This SBIR effort proposes using live and continuous monitoring of metal tanks, pressure vessels, and pipelines using carbon nanomaterial-based sensing skins to detect excessive physical strains, cracks, and to inspect impact damage. The proposed research and development work leverages 15+ years of fundamental research. The key objective is to advance the TRL level and the scalability of carbon nan ...

Public transit is particularly vulnerable to disruption and shocks from pandemics due to the collective nature of its mobility. The COVID-19 pandemic has brought new needs to keep all facilities clean for the safety of people at all times. To prevent the spread of coronavirus through transit facilities, keeping surfaces disinfected is incredibly important. The aim of this project is to contribute ...

Across the nation, school buses drive our kids to and from school, in rural, suburban, and large cities – all having the same problem: safely transporting school children. This proposal calls out (1) there is no school bus V2X solution that exists in any meaningful scalable way today (2) there is no readily available solution to solve for school children being struck during evening hours when vi ...

We propose AI capabilities that improve modeling complex ocean dynamics and assist in the logistical management and planning of uncrewed deployment campaigns. Uncrewed sensor platforms sense and collect data for many interests, including tracking chemical and biological tracers, assimilating ocean dynamics observations into forecast models, and enhancing naval situational awareness. The recent eme ...

NOAA has used historical documents such as ship logs and many other resources to collect weather data critical to modeling global and regional climate and weather conditions. To date, the optical character recognition (OCR) technology developed over the past three decades remains limited in the ability to recognize handwriting and reliably extract text in context. Machine Learning (ML) algorithms ...