Award Data

Real-time monitoring of traffic conditions is crucial for improving traffic safety and efficiency, and there is an urgent need for the development of in situ traffic sensing & computing technologies leveraging the recent advancements in edge computing. This project will develop an edge computing and sensor fusion system for comprehensive traffic and road conditions data collection and efficient tr ...

While AI-based techniques have been broadly embraced by transportation researchers and professionals due to their huge potential to significantly improve the efficiency and accuracy of analyzing transportation data, they typically require a large dataset to train the models effectively and experience difficulties in supporting real-time transportation operations and management. This project will u ...

While AI-based techniques have been broadly embraced by transportation researchers and professionals due to their huge potential to significantly improve the efficiency and accuracy of analyzing transportation data, they typically require a large dataset to train the models effectively and experience difficulties in supporting real-time transportation operations and management. This project will u ...

In CMV operations, impaired alertness from driver fatigue contributes to a significant number of collisions and safety critical events. This project (through Phase II) will achieve a system to deliver an objective quantifiable measure of driver alertness based on the Psychomotor Vigilance Test (PVT). This system will alert drivers when assessments indicate alertness deficits and support the timely ...

In CMV operations, impaired alertness from driver fatigue contributes to a significant number of collisions and safety critical events. This project (through Phase II) will achieve a system to deliver an objective quantifiable measure of driver alertness based on the Psychomotor Vigilance Test (PVT). This system will alert drivers when assessments indicate alertness deficits and support the timely ...

Research conducted in Phase I identified a range of data sources providing vehicle related information to consumers shopping around or interested in knowing more about vehicles. Majority of the commercial data sources focused on vehicle features, new/used/CPO pricing, and vehicles listings. Such data sources lacked safety as their central focus, which is a concern for U.S. Department of Transporta ...

Coordinate Registration (CR) of OTHR targets requires accurate real-time ionospheric modeling coupled with HF propagation calculations to convert radar-detected target delays and beam steers to geographical positions. Our team has developed a comprehensive ionospheric data assimilation capability called GPSII. Within proposed effort GPSII will be matured for OTHR CR. Of particular value are recent ...

This Phase 2 SBIR program will result in a commercializable and clinically tested Prosthetic Smart Auto-Alignment Tool (ProSAT), which addresses the need to facilitate rapid, accurate, quantitative, and systematic diagnosis and adjustment of the physical alignment of a prosthesis. ProSAT is a novel approach to alignment challenges by creating a hybrid sensor and smart tool system that can adjust e ...

Automatic Direct Surveillance Broadcast (ADS-B) can be used to provide seamless integration of space and vehicles and aircraft and for more efficient airspace use as the number of commercial space vehicles operations increase. This proposed Phase II will continue the development of techniques and equipment needed to allow for commercial space vehicles to be tracked via 1090ES ADS-B for internation ...

This Phase 1 SBIR program will result in a proof of concept the Prosthetic Smart Auto-Alignment Tool or ProSAT, which addresses the need to facilitate rapid, accurate, controllable adjustment of the physical alignment of the prosthesis. We are proposing a novel approach to the problem by creating a hybrid sensor and smart tool system that is nearly universally applicable to existing modular prosth ...