Award Data

AXIS (Aerial Crossing Inspection System) is an innovative highway-rail grade crossing inspection system that will use UAVs and machine learning to perform inspections with unprecedented efficiency. AXIS is an end-to-end solution that will pre-plan inspection flight paths, use drone-mounted cameras to create a 3D model of the crossing, calculate the crossing’s risk profile and generate detailed t ...

DEMONSTRATE THE FEASIBILITY OF TRAINING AND UPGRADING AIRCRAFT INSPECTOR SKILLS THROUGH THE USE OF COMPUTER ENHANCED IMAGES OF AIRCRAFT COMPONENTS IN A CONTROLLED INSTRUCTIONAL ENVIRONMENT.

AXIS (Aerial Crossing Inspection System) is an innovative highway-rail grade crossing inspection system that uses UAVs, cloud processing and clustered-computing to perform inspections with unprecedented efficiency. AXIS is an end-to-end solution that preplans inspection flight paths, uses photogrammetry to create a 3D model of the crossing, calculates the crossing’s risk profile and generates de ...

AVIS (Autonomous Video Inspection System) is an innovative highway-rail grade crossing inspection system that will use deploy Artificial Intelligence based models with efficiency and accuracy. AVIS is an end-to-end solution that will evaluate forward-facing video to detect the presence and condition of key features that help improve the safety of pedestrians and vehicles at highway-rail crossings. ...

While many inspection technologies are available to find corrosion in steel tendons of prestressed concrete, no single technology has shown consistent results over the wide range of prestressed structures and inspection settings that are required from the bridge infrastructure market. However, a new NDE method – Nonlinear Impact Resonance Spectroscopy (NIRS) – shows promise in identifying corr ...

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 ...

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 PURPOSE OF THE PROPOSED RESEARCH IS TO DEVELOP A DATABASE OF MATERIALS COMMONLY FOUND IN LUGGAGE. THIS WOULD INCLUDE DATA ON WHAT TYPES OF ARTICLES ARE TYPICALLY FOUND IN LUGGAGE AND DATA ON THE ELEMENTAL COMPOSITION AND PHYSICAL PROPERTIES OF THESE ARTICLES. THE DATABASE WOULD BE USED IN THE DEVELOPMENT OF NON-INTRUSIVE LUGGAGE ANALYSIS TECHNIQUES AND, ALSO, IN THEIR SUBSEQUENT APPLICATION IN ...

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Paralytic shellfish poisoning (PSP) due to consumption of contaminated shellfish is an increasing problem is the coastal waters of the United States, particularly in New England and the Pacific Ocean. The symptoms of PSP include vomiting, diarrhea, shortness of breath, confusion, and loss of coordination in both marine animals and humans. In severe cases, PSP toxins can cause respiratory failure a ...