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Abstracts of FY18.1 Phase I Awards
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H-SB018.1-009

Company

Heron Systems Inc.
22685 Three Notch Road
Suite B
California, MD 20619-3042

Proposal Information FY18.1-H-SB018.1-009-0006-I - Ground-Based Autonomous Robotic Inspection of General Aviation
Topic Information H-SB018.1-009 - Ground-Based Autonomous Robotic Inspection of General Aviation for Radiological Threats
Award/Contract Number 70RDND18C00000020
Abstract

Heron Systems proposes an autonomous UGV capable of dramatically improving the efficiency and scalability of radiological scanning of General Aviation aircraft. The proposed system uses Clearpath Robotics' UGVs as a basis for mature, robust robotic design. The platform will be extended by MACE, the Heron Team's novel robotic system architecture, to support the integration of sensor solutions, optimized task allocation algorithms, control, and human-machine interface components via pluggable modules. This phase will develop the system design via an engineering design process leveraging existing state of the art in robotics technologies and radiation localization. Candidate sensor packages and inspection solutions shall be evaluated by assessing the ability to address requirements derived from operational storyboarding. A software-in-the-loop simulation environment, highlighting feasibility and CONOPS of the proposed solution, will be provided. The team's extensive current and prior research on detecting and localizing radiological sources, autonomous vehicles, and multi-robotic systems informs Phase 1 research and design focus. Five core areas are identified: Command & Control, Navigation & Localization, Local & Reach Back Communications, Radiation Detection & Identification, and Radioactive Source Localization. As a foundation for Phase 2, the completed design enables a rapid acquisition and integration effort. Immediate commercial applications will target acquisition by DHS to meets its radiological inspection requirement. Further opportunities in the mining, agriculture, construction, surveying, forestry, and other industries are envisioned.

Company

NuHorizon Technologies, LLC
1215 Promontory Path
Marietta, GA 30062-2985

Proposal Information FY18.1-H-SB018.1-009-0008-I - Ground-Based Autonomous Robotic Inspection of General Aviation for Radiological Threats
Topic Information H-SB018.1-009 - Ground-Based Autonomous Robotic Inspection of General Aviation for Radiological Threats
Award/Contract Number 70RDND18C00000018
Abstract

The goal of this project is to develop a ground robotic system that performs automated radiological screening of general aviation aircraft. The robotic system will integrate a commercial off-the-shelf mobile platform, a manipulator arm, and radiation detectors with 3D vision sensors and path planning software to produce a highly-automated, robust solution for initial and secondary aircraft screening. The system will be designed such that, following identification of the target aircraft by an operator, the robot will traverse a path around the aircraft to determine its 3D shape using an onboard vision sensor. It will then plan an initial screening path for the base and manipulator arm, and execute the initial and secondary screening paths as needed to identify, localize, and characterize any radiation anomalies. The project is divided into three phases. Phase 1 will focus on development of a conceptual design, including creation of performance goals, selection of COTS components, creation of an integrated CAD design, and production of simulation results illustrating system performance. Phase 2 will focus on creation and demonstration of a prototype system, to include testing on one or more general aviation aircraft in a realistic environment. Phase 3 will focus on product development for other applications of interest to commercial entities and/or DHS. It is envisioned that commercialization opportunities for this system exist for a variety of applications such as nuclear security, nuclear safety, decontamination work, routing surveys of nuclear facilities, and screenings at any facilities with a concern about radiological threats.

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H-SB018.1-010

Company

Charles River Analytics Inc.
625 Mount Auburn Street
Cambridge, MA 02138-4555

Proposal Information FY18.1-H-SB018.1-010-0001-I - Tracking Nuclear Threats in Security Camera Networks (TNT-SCAN)
Topic Information H-SB018.1-010 - Exploitation of Security Networks and Video Management Systems for Nuclear Threat Identification and Tracking
Award/Contract Number 70RDND18C00000022
Abstract

The implementation of continuous nuclear and radiological monitoring systems enabling the automatic detection and tracking of potential nuclear threats is traditionally associated with a high operational burden. Sensors typically have to be monitored by dedicated personnel, who must investigate detection events in a timely manner; however, high nuisance alarm rates can rapidly overwhelm already-taxed law enforcement personnel, while ambiguities in a signal's origin limits the reliability of actionable information, particularly in a cluttered urban environment with many moving objects. Charles River Analytics and Passport Systems propose to develop a system for Tracking Nuclear Threats in Security Camera Networks (TNT-SCAN), enabling continuous, real-time monitoring of radiological sources in complex urban environments. The system augments an existing network of video cameras with a distributed network of commercial off-the-shelf (COTS) radiation detectors. A video processing subsystem detects and tracks objects in video streams provided by a third-party video management system (VMS) and passes track data to a radiation processing subsystem, which detects, localizes, and identifies threat sources. A graphical user interface provides security personnel with interactive threat reports, including historical track data, enabling efficient review, verification, and escalation of detection events. The proposed system builds off of multiple recent advances in video analytics and radiation detection technologies, including a multi-modal approach to monitoring that has been demonstrated in high-speed roadside environments. The envisioned end product represents a natural extension of existing product lines developed by our team, and is expected to appeal strongly to stakeholders of relevant security systems.

Company

Deep Analytics LLC
56 College Street
Suite LL6
Montpelier, VT 05602-3115

Proposal Information FY18.1-H-SB018.1-010-0006-I - RadioNuclide Threat Tracking System (RNTTS)
Topic Information H-SB018.1-010 - Exploitation of Security Networks and Video Management Systems for Nuclear Threat Identification and Tracking
Award/Contract Number 70RDND18C00000015
Abstract

The use of video surveillance on roadways, railroads, buildings and other structures is becoming pervasive in the U.S. With the preponderance of video security networks, it is logical to suspect that the capability of existing video security solutions can be enhanced by integrating information from other sensor modalities that detect and provide actionable information about invisible threats, such as radiological and nuclear (RN) weapons. For this project, Deep Analytics LLC (DA) proposes the RadioNuclide Threat Tracking System (RNTTS). The RNTTS solution utilizes an existing state-of-the-art radiation sensor with integrated IP cameras, and cutting-edge automated target classification algorithms that correlate RN threat detections with the carriers (person or vehicle) in video streams. The overarching project goal is to supply DNDO and their partners with a low-cost and robust RN sensor technology that readily integrates with existing enterprise video management systems (VMSs) to track RN carriers. During Phase I, DA will develop and demonstrate cutting-edge machine learning algorithms to identify and track RN carriers in video streams. DA has partnered with Applied Research Associates, Inc. (ARA) in Phase I to leverage their decades of experience in RN sensor technology and to utilize their unique RN sensor for this effort. DA has begun establishing relationships with high-volume VMS vendors to assist with Phase I development of interface control documents that describe how RN carriers will be tracked on video streams with select VMSs. The completed Phase II prototype will enable drop-in integration of the RN technology with select VMS vendors.

Company

Silverside Detectors
61 Mooney St.
Cambridge, MA 02138-1038

Proposal Information FY18.1-H-SB018.1-010-0012-I - Fusion of VMS and Radiation Sensor Data for Real-Time Identification and Tracking
Topic Information H-SB018.1-010 - Exploitation of Security Networks and Video Management Systems for Nuclear Threat Identification and Tracking
Award/Contract Number 70RDND18C00000017
Abstract

Traditionally, implementation of dedicated, continuous nuclear and radiological monitoring systems for identifying and tracking nuclear materials out of regulatory control is associated with high operational burdens. Although video and images from cameras are helpful in assessing threats, the raw, unstructured data require time-intensive human interaction to extract the relevant actionable information for adjudicating a threat. A solution to this is to automatically combine spatiotemporal information from radiological sensors and cameras with video and data analytics within a computing platform such as a Video Management System (VMS), to produce structured, annotated video information that allows security stakeholders to adjudicate potential threats rapidly. The purpose of the proposed work is to exploit video/data analytics and camera control solutions of VMSs in order to support the detection, identification, and tracking of nuclear/radiological objects moving within the monitored environment, as well as to generate actionable information about the object that is carrying/conveying the threat materials. The results will be design specifications and trade space assessments of different VMS integrations, a prototype integrated system that validates the proposed system design, and a final selection of VMS platforms for full development in Phase II. The potential commercial applications of the effort is the offering of radiation detection and the integration/tracking algorithms as an enhancement of camera-enabled existing security infrastructure in federal, local, and state venues.

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