Award Data

One of the hallmarks of our modern world is the increasing ubiquity of sensors and platforms deployed in complex environments. On the battlefield, there are a wide variety of sensors integrated with platforms ranging from large vehicles, such as the NBCRV, to drones, ground robots, light tactical off road vehicles, and on the Warfighters themselves. Collecting, correlating, analyzing, and communic ...

SiO2 Materials Science (SiO2) is a U.S. advanced medical technology company that produces high-performance, durable, glass-equivalent primary containers that are uniquely designed to store, transport, and protect drugs, including those that require cold-chain storage. SiO2 is an SBA Defense SBIR/STTR Innovation Portal (DSIP) small business. SiO2’s primary containers are wholly manufactured in ...

Toyon Research Corp. proposes development of a system that automates disaster assessment based on fusion of overhead and ground-basedimages, video, and other data. In Phase I, we will investigate various possible data sources and the benefits of fusing the data in automatedanalysis. We will select and curate data for processing in a Phase I feasibility study. Damage assessment will be performed in ...

To address the NGA’s need to fully automate recovery of camera orientation parameters from ground-level imagery, Physical Optics Corporation (POC) proposes to develop new Automated Camera Orientation Recovery Software (ACORS). It is based on a new, multicue combination of algorithms for finding true horizon lines in images. Specifically, the innovation in locating occluded true horizon lines bel ...

Optical E. T. C., Inc. (OETC) proposes to perform research into appropriatetechnologies that meet SOCOM needs for an automated IMC send and receivecapability suitable for reduced RF signature during combat operations.OETC will develop a system concept based upon the specified size, weight,and power constraints and the desired SOCOM capabilities. During the Phase Iactivity, OETC will develop a tec ...

Vidient proposes a computer-aided video/audio surveillance system to detect, monitor, understand and anticipate crowd behavior. Audio and video sensors were selected because they are low cost, portable, passive, and if mounted properly, are difficult to detect visually. A robust crowd detection and interpretation method using a Bayesian fusion framework to integrate multiple video/audio processing ...

To address SOCOM needs for advanced man portable surveillance technologies, Physical Optics Corporation (POC) proposes to develop a new system for Automated Cueing using Motion detection and Extraction (ACME). ACME is structured around a new hybrid motion detection and object recognition software kernel based on feed-forward neural networks, and state-of-the-art statistical algorithms, capable of ...

Infrared (IR) imagery provides a rich source of information for target detection, feature-based tracking, and identification. Yet, variable operating conditions, including sensor range, viewing angle, as well as target illumination and degree of occlusion, have so far prevented the development and effective deployment of a complete solution for real-time target identification. While much attention ...

Our solution to the automated feature extraction problem will leverage the material properties that can be inferred from combining multispectral imagery with high resolution elevation data or LIDAR data using a trainable knowledge base. Multiple imaging bands provide a more complete picture of the material involved than ordinary RGB. This can help distinguish between a green grass lawn and a gre ...

Data resources available for automatic feature extraction (AFE) have expanded significantly in the last few years. Available sensor data now includes high-resolution multispectral and hyperspectral sensors, synthetic aperture radar (SAR), and accurate height measurement sensors such as LIDAR and interferometric SAR (IFSAR). Current AFE tools are unable to fuse and process all the new types of se ...