Award Data

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The Award database is continually updated throughout the year. As a result, data for FY19 is not expected to be complete until September, 2020.

  1. Machine Vision System to Support Vehicle to Infrastructure (V21) Safety Applications

    SBC: Intelligent Automation, Inc.            Topic: 18FH1

    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 ...

    SBIR Phase II 2019 Department of Transportation
  2. An Artificial Intelligence (AI) Based System for Advanced Freeway Data Collection and Analysis

    SBC: Intelligent Automation, Inc.            Topic: 18FH4

    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 ...

    SBIR Phase II 2019 Department of Transportation
  3. Robotic Utility Mapping and Installation System (RUMI)

    SBC: Intelligent Automation, Inc.            Topic: 141FH3

    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 The recordings of such buried utilities are often erroneous, inadequate, or outdated (if they ever exist) due to insufficient surveying methodologies and as-built recording practices.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 ...

    SBIR Phase II 2019 Department of Transportation
  4. Compact Laser Shearography System for Crack Detection

    SBC: Laser Technology Inc.            Topic: 05FH1

    Laser Technology Inc. (LTI) proposes a Phase II SBIR research project to further develop a Compact Shearography System, Analysis Method and Software for micro-crack detection in concrete. There is an urgent need to detect and characterize fine cracks in concrete that form because of various damage mechanisms including alkali-silicate reaction, delayed ettringite formation or frost damage. Fine s ...

    SBIR Phase II 2008 Department of Transportation
  5. Step Frequency Ground Penetrating Radar for Location and Evaluation of In-Roadway Sensors

    SBC: STARODUB INC            Topic: 06FH2

    A nondestructive evaluation method is proposed for imaging in-roadway sensors, anticipated to allow them to be located and evaluated in-situ. The techniques uses innovative step frequency GPR hardware together with new data collection and data processing methods to provide high-resolution images of in-roadway sensor features. Recent work by the proposed research team has already demonstrated im ...

    SBIR Phase II 2008 Department of Transportation
  6. Low Cost Transverse Rail Defect Detector

    SBC: Mide Technology Corporation            Topic: 02FR1

    Development of the basic EMAT based transverse rail defect detector has progressed toward finished form, as envisioned in the original solicitation. This modification is intended to produce a demonstratable version of a 2-rail detection system with automated signal interpertation. The objectives of this work are to: a. Further develop the system into a functioning 2-rail detection system, as ori ...

    SBIR Phase II 2008 Department of Transportation
  7. Innovative Multi-cellular Pultruded Composite Guardrail

    SBC: Creative Pultrusions, Inc            Topic: N/A

    N/A

    SBIR Phase II 2001 Department of Transportation
  8. A System for Automated Analysis of Driver Glance Videos

    SBC: IMAGECORP, INC.            Topic: N/A

    ImageCorp, Inc. and its subcontractor M-Vision, Inc. propose to design and conduct a feasibility study of a machine vision system dedicated to the automatic analysis of the drivers┬┐ glancing direction. This system will be able to determine the beginning and end of the glancing activity in the video sequence, indexed by the subject (functional area of interest), duration, and direction of glance. ...

    SBIR Phase II 2001 Department of Transportation
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