Award Data

Ground vehicles with navigation capability (e.g., GPS) can index into foundation data (e.g., Google Maps) to gain situational awareness abouttheir surroundings. When GPS and RF navigation sources are degraded, maintaining situational awareness requires an alternative navigationsource. One alternative source is the foundation data itself. The data contain objects at known 3D locations, which projec ...

Generalized change detection is a critical capability to mitigate the need for massive human inspection of the rapidly expanding volume ofglobal overhead satellite imagery. Current optical change detection approaches focus on fully specified systems to detect a predefined set ofchanges, and effective approaches for generalized change detection have not yet been demonstrated. We propose to build a ...

This SBIR Phase I project proposes a probabilistic approach to determine a vehicles location using onboard video sensors and foundationalmap data. The system does not rely on only one type of information source, instead it combines proposals from a variety of locationestimators to find a vehicles location in GPS-denied environments.The system takes advantage of recent advancements in computer visi ...

Deep Learning Analytics (DLA) will develop the Deep-False Alarm Suppression Technique (D-FAST) algorithm that uses state of the art and

Through previous grant awards from IES, researchers developed Graspable Math, a tablet-based intervention where middle and high school students create and manipulate complex expressions for basic operations as well as equations and equations systems and inequalities. In this project, the team will develop a prototype of Graspable Math Activities, an app with novel kinds of algebra practice and ass ...

Through previous research and development, the team created a teacher platform that suggests research-based strategies for supporting students with special needs or targeted skill gaps. This project will develop a prototype of a dashboard for teachers to create, access, and track student's Individual Educational Plans (IEPs). At the end of Phase I, in a pilot study with six middle school special e ...

Through a previous grant award from the U.S. Department of Education, researchers developed Read for Success, an intervention designed to stem the summer slide among struggling readers. This project will develop a prototype of Mix Libris, an Augmented Reality (AR) enhanced mobile literacy platform designed to support and motivate grade 3 students in acquiring and improving literacy skills. Mix Lib ...

Through previous grant awards from IES and the National Science Foundation and an ED/IES SBIR award, researchers developed a virtual laboratory with performance-based simulations aligned to Next Generation Science Standards (NGSS) in physical, life, and earth science for middle school, as well as a dashboard to provide teachers real-time formative and summative assessment reports on students doing ...

Overhead imagery analysts employ computer-based software as Electronic Light Tables (ELTs), to perform detailed analysis of aerial images in search of elements of interest. Conventional display design for ELT software requires analysts to take their eyes away from the image they are analyzing to perform routine functions. This interaction overhead typically leads to losses in visual momentum and i ...