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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

Displaying 1 - 10 of 3744 results
  1. 8-Predictive Analytics for Normalcy Reasoning and Anomaly Analysis (8-PANORAMA)

    SBC: Boston Fusion Corp.            Topic: N193A01

    Predictive Analytics for NOrmalcy Reasoning and AnoMaly Analysis (PANORAMA) is a machine learning (ML) tool for automatic identification system (AIS) data that learns maritime patterns of life and detects anomalous vessel behavior. PANORAMA learns what is normal for a given ship, taking into account: (1) that ship’s past behavior, (2) the past behavior of similar ships, (3) normalcy patterns in ...

    SBIR Phase I 2020 Department of DefenseNavy
  2. Focus Area 8- (SPADE) Spatial Anomaly Detection

    SBC: Aptima, Inc.            Topic: N193A01

    Coastal and marine navigation, as well as doing so safely, requires the correct identification of vessel type and prediction of behaviors. While the development of Automatic Identification System (AIS) has eased the burden of vessel localization and identification, errors still occur due to improperly configured messages, whether done innocently or maliciously.In order to increase the safety of ou ...

    SBIR Phase I 2020 Department of DefenseNavy

    SBC: TAGUP INC            Topic: N193A01

    Current USMC logistics information systems do not possess the predictive modeling and simulation tools required to support strategic mission critical MAGTF planning efforts. Standard maintenance and supply information (service requests, spare parts requisitions, NIIN inventories, fleet readiness metrics, etc.) is readily available in an ERP system and is visualized via custom-built asset health/fl ...

    SBIR Phase I 2020 Department of DefenseNavy
  4. (1)- Actionable Analytics Using AI/ML for Supply and Sustainment Mission Success

    SBC: Beacon Interactive Systems LLC            Topic: N193A01

    For N193-A01, Beacon is proposing to develop innovative AI and ML technologies that can predict and prescribe items for resupply within Naval Air Operations. The approach will be to build upon previous successful SBIR transitioned shipboard digital assets. The innovation proposed is to use AI / ML to inform and provide actionable intelligence into the supply chain from the operational point-of-per ...

    SBIR Phase I 2020 Department of DefenseNavy
  5. 1- STORMY: Storm-Aware USV Operations using Multi-Objective Autonomy

    SBC: Scientific Systems Company Inc.            Topic: N193A02

    STORMY (Storm-Aware USV Operations using Multi-Objective Autonomy) will allow a USV to weigh global mission objectives such as arrivals at a time-prioritized sequence of locations against damage to the vessel due to high seas or collision with other vessels during long-duration missions. The proposed WAVES technology addresses these issues with a two-tiered approach to vehicle motion which conside ...

    SBIR Phase I 2020 Department of DefenseNavy
  6. (2) Adaptive Perception Behaviors (APB)

    SBC: Charles River Analytics, Inc.            Topic: N193A02

    To be mission-relevant, Navy unmanned surface vehicles (USVs) must perceive and behave like manned ships. Cameras are valuable for supporting human-like perception because their high-resolution detail enables ship classification, tracking, COLREGS determination, and threat characterization. Human watchstanders use a variety of cues and heuristics to scan the surroundings and contacts optimally, bu ...

    SBIR Phase I 2020 Department of DefenseNavy
  7. 5-Context- and AI-Based Reasoning for Identification onBOard UUVs (5-CARIBOU)

    SBC: Boston Fusion Corp.            Topic: N193A02

    Context- and AI-Based Reasoning for Identification onBOard UUVs (CARIBOU) is a comprehensive, AI-based automatic target recognition (ATR) agent paired with a fundamentally novel reasoning engine. CARIBOU is designed to provide accurate, robust target recognition capabilities that are not easily fooled by novel classes, dim signals, or attempts to deceive, without requiring a human-in-the-loop or b ...

    SBIR Phase I 2020 Department of DefenseNavy
  8. 1- BotSwain, Robotic Coxswain Behavior for High Sea-State Navigation

    SBC: FTL Labs Corporation            Topic: N193A02

    The control system of an Unmanned Surface Vehicle (USV) needs to weigh mission accomplishment against potential damage from high seas. Once in a high-seas situation, the best immediate course and speed to minimize vessel motions may not coincide with the best path away from the storm. The USV needs a maneuvering storm avoidance and in-storm maneuvering behaviors that balance overall mission accomp ...

    SBIR Phase I 2020 Department of DefenseNavy
  9. (8) Xiphos_CallforFire_Gaming_Simulation_NAVY TECHNOLOGY ACCELERATION- Advanced Technologies (including AR/VR) for Manpower, Personnel, Training, an

    SBC: XIPHOS PARTNERS, LLC            Topic: N193A03

    This research and development project will advance the military application of commercial gaming software based Virtual Reality (VR) to maximize overall simulator training value as measured by quality of student learning experience, instructor facilitation capability, Game Based Learning (GBL), and cost. The project will focus on the Joint Fires Observer (JFO)/Call for Fire (CFF) warfighting funct ...

    SBIR Phase I 2020 Department of DefenseNavy
  10. (7) Training Return-on-investment Analysis, Investigation, and Evaluation Reasoning (TRAINER) Toolbox

    SBC: Charles River Analytics, Inc.            Topic: N193A03

    To continue organizational excellence and world superiority, the Navy must make wise, evidence-based investments in training systems to maximize return-on-investment (ROI). To support Ready, Relevant Learning and increase Navy training ROI, Charles River Analytics proposes to design, develop, and demonstrate a prototype Training Return-on-investment Analysis, Investigation, and Evaluation Reasonin ...

    SBIR Phase I 2020 Department of DefenseNavy
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