SBIR-STTR Award

Navigation Solutions by Terrain Imaging
Award last edited on: 5/22/2008

Sponsored Program
SBIR
Awarding Agency
DOD : AF
Total Award Amount
$849,167
Award Phase
2
Solicitation Topic Code
AF02-169
Principal Investigator
Ben Motazed

Company Information

Athena Technologies Inc (AKA: Athena Controls)

3721 Macintosh Drive Vint Hill Tech Pk
Warrenton, VA 20187
   (540) 428-3300
   N/A
   www.athenati.com
Location: Single
Congr. District: 05
County: Fauquier

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2002
Phase I Amount
$99,931
Athena Technologies, Incorporated (Athena) and Carnegie Mellon University Robotics Institute (CMU) propose to exploit use of visual odometry capabilities via real-time computer vision, to augment inertial sensors, 3D magnetometer and GPS to determine the velocity, position and attitude of a missile or unmanned air vehicle. The proposed architecture exploits the excellent performance Athena has demonstrated to date with the GuideStar system, which provides a full navigation and attitude solution from a 16 state nonlinear extended Kalman filter, using low grade MEMS technology inertial sensors. This proposal will explore augmenting of this navigation/attitude solution by incorporating CMU's visual odometry signals that are the processed output from digital imaging of local terrain video. With this additional sensing modality, the navigation and attitude solution stands a good chance of improved performance under GPS outage conditions. Athena foresees a large potential market in the application of vision-based flight control systems to both military unmanned and general aviation air vehicles. Vision-based FCS will enable autonomous obstacle managment for autonomous docking, perching and landing on runways in visible, IR or active SAR spectrum.

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
2003
Phase II Amount
$749,236
Athena Technologies, Incorporated (Athena) in collaboration with Carnegie Mellon University Robotics Institute (CMU) is pleased to submit this Phase II proposal in continuation of the Phase I effort where we successfully demonstrated proof-of-concept (POC) Visual Augmented Inertial Navigation System (VAINS) to accurately generate high bandwidth velocity, position and attitude of an air vehicle in the case of extended absence of GPS. The Phase I effort addressed a number of issues involving extraction and tracking of natural terrain features, use of synthetic images for testing purposes, and demonstrating feasibility of the entire VAINS concept to achieve INS accuracy equivalent to performance when GPS is available full time. The objective of this Phase II effort is to maturate the VAINS architecture and achieve robust and accurate navigation performance while flying over various types of real natural terrain, under different lighting conditions, flight speeds and altitudes, with poor GPS coverage. In addition to finalizing the implementation of the algorithms, a key deliverable of the Phase II effort will be an optimal hardware design configuration to perform the VAINS functionality.

Keywords:
Visual Odometry, Flight Control System , Position And Attitude Determination, Kalman Filtering