Award Data

Assured CA/AV Navigation is a network of receiver-detectors with the ability to communicate reliable and accurate vehicle positioning integrity information for safe operations to individual users. The network approach provides density and sensitivity to rapidly detect and communicate relevant information to impacted vehicles. The solution will develop a highly capable and cost-effective network of ...

Zeteo Tech, Inc. and FLIR Systems will develop a concept for the Development of ZTF Occupant Detection System. ZTF will use a rigorous systems engineering approach to mature the ZTF Vehicle Occupant Detection System conceptual design to a highly functional, cost-affordable design of a pre-product that would be developed and tested in a Phase II effort.ZTF will conduct a marketing study to evaluate ...

The Video-National Imagery Interpretability Rating Scale (VNIIRS) is a task-based scale that reflects observable semantic content in videos. Intelligence agencies such as the NGA use VNIIRS for applications such as efficient storage and retrieval, data browsing, and testing of automated video assessment systems. Existing methods for video quality assessment rely on expert analysts to view and tag ...

The Video-National Imagery Interpretability Rating Scale (VNIIRS) is a task-based scale that reflects observable semantic content in videos. Intelligence agencies such as the NGA use VNIIRS for applications such as efficient storage and retrieval, data compression and data browsing. Unlike video quality metrics, VNIIRS ratings reflect subjective assessment of semantic content, which may not always ...

NGA seeks to incorporate Artificial Intelligence (AI) and Machine Learning (ML) into Intelligence, Surveillance, and Reconnaissance (ISR) missions to capture fleeting targets. As such, a large number of dynamic scenes with accurate target motions and behaviors will be needed for training and performance evaluation. The traditional microscopic model-based approach for vehicle activity simulation is ...

Intelligence analysts attempting to geolocate ground-level imagery rely on numerous sources of information including reference data of distinct urban and topographical structures which of may be visible from the ground. This matching process is tedious and requires careful identification of topographic features (e.g. ridgelines) and relevant contextual information (e.g. environment type) from both ...

Currently traction motors are typically maintained on a Time-Based Schedule. The move to a more cost-effective Condition-Based monitoring system faces multiple challenges - primary among them being the complexity of wiring and instrumenting sensors in the ruggedized rail environment and the difficulty of extracting intelligible information from the data collected in a noisy environment. Forcing Fu ...

Today, urban underground spaces are shared by multiple utility companies for laying power lines, gas lines, water supply/sewage pipes, fiber-optic cables, etc. The recordings of such buried utilities are often erroneous, inadequate, or outdated (if they ever exist) due to insufficient surveying methodologies and as-built recording practices. Ability to accurately locate and provide awareness of bu ...

Planned or unplanned traffic events, such as work zones, collision accidents, sporting games and stormy/snowy weather, arise along our roadway systems and affect normal traffic operations. These anomaly events cause various magnitude of traffic congestion and safety impact to road users. Thus, local or regional Traffic Management Centers (TMCs) have spent tremendous amount of resources responding ...

To keep drivers and passengers of vehicles safe, especially in rural areas with limited access to Information and Communications Technology (ICT), the DOT and the commercial automotive industry are keenly interested in machine vision based V2I and CAV technology to perform functions such as navigating assistance in areas where GPS or detailed maps are unavailable, caution and warning systems capab ...