SBIR/STTR Research Award

An Extensible 6DOF Vision Framework for Accurate Location and Pose Estimation in a Scene Graph Context

Award identifier 1d9d4d5e97586de5774aa84417308a2523b0127ffa0020a41f5e5ac89adf753aAwarding agency Department of Commerce · National Institute of Standards and Technology

Award amount

$90,000

Program and phase

SBIR · Phase I

Award year

2011

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Award details

Awarding agency
Department of Commerce
Branch
National Institute of Standards and Technology
Recipient company
ROADNARROWS LLC
Proposal award date
2011-08-01
Contract end date
2012-02-28
UEI
Q39GM5JSXH74
Solicitation number
Not reported
Topic code
9.05.11.73-R

Research abstract

RoadNarrows proposes a novel architecture to be implemented in a 6DOF vision system with applications in autonomous robotics. The system will report objects of interest along with location and pose information to a supervising computer. This system will be built around an advanced 3D vision platform that can deliver multiple video streams and 3D spatial measurements. The sensors will deliver high-resolution real-time spatial data which will be incorporated into an innovative framework for creating a scene graph approximation of the environment. Each set of measurements received from the sensor will be used to refine this scene graph model. The scene graph will contain important information about all objects of interest in the environment such as: estimated location, pose, and velocity. This approach, which builds and refines a coherent model of the environment, has significant advantages over simpler vision systems that analyze data frame by frame.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

4 SBIR/STTR records share this UEI (2007–2011). Reported award amounts total $890,000. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: National Science Foundation, Department of Commerce

Agency intelligence

Department of Commerce

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