SBIR/STTR Research Award
Visual Odometry and Automatic 3D Model Construction for MAVs
Award amount
$98,957Program and phase
STTR · Phase IAward year
2005Award details
- Awarding agency
- Department of Defense
- Branch
- Defense Advanced Research Projects Agency
- Recipient company
- AVID LLC
- Proposal award date
- 2005-08-18
- Contract end date
- 2006-10-17
- UEI
- WXGGG87RAKN5
- Solicitation number
- Not reported
- Topic code
- ST051-003
Research abstract
We propose to commercialize the real-time visual odometry and automatic 3D model construction method developed by David Nister for use on Micro Air Vehicles. The system will be developed for the Honeywell MAV and tested on that platform. The front end of the system is a feature tracker. Point features are matched between pairs of frames and linked into image trajectories at video rate. Robust estimates of the camera motion are then produced from the feature tracks using a geometric hypothesize-and-test architecture. An important strength of this real-time approach is that it also provides a sparse estimate of 3D structure.
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.
- Cluster UAS Smart Munition for Missile Deployment
- Tank Integrated Drone Systems
- Innovative Solutions for Multi-Rotor Flight Endurance
- Cluster UAS Smart Munition for Missile Deployment
- Shape Changing Maneuverable Munition Using Novel Alloys/Materials for Flight Performance Enhancements
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- MAVIS: A Robust Real-Time SFM for SMAV
- Robust Real-Time SFM for SMAV
- 3D Model Construction from a Micro Air Vehicle
Research funding history
28 SBIR/STTR records share this UEI (2004–2019). Reported award amounts total $9,920,786. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense, National Aeronautics and Space Administration