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 ...

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The primary purpose of this work is to develop a comprehensive technical plan and prototype (phase one) to integrate multiple technologies via open standards (MOHSES/JETS) to create a comprehensive female manikin simulation platform (phase two) with validated cases, physiology, and interventions that leverage state-of-the-art technologies (AR, VR, traditional manikins, and part-task trainers). Th ...

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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 ...

1.  Build and enable wolfBoot secure boot for the 5777m processor, including integration with the onboard HSM.  This will be one foundation that we will have in place for secure firmware updates on the neXtECU.  wolfBoot is OS agnostic, so if an OS is chosen for neXtECU, whether it be RTA-OS, OSEK, SafeRTOS, or something else, we will enable support for it.   Once enabled for the 5777m, wolfB ...

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In this STTR program, Mantel Technologies, in collaboration with the Human Performance Laboratory at the United States Air Force Academy, proposes to develop a canine respiratory mask system to meet the operational needs for reliable VO2Max measurement and a fieldable, canine cardiorespiratory fitness protocol. Prototype canine masks and vests will be integrated with technology allowing end users ...

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 ...