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Realtime Determination and Prediction of Aircraft Trajectories Using Limited…

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
90261
Program Year/Program:
2009 / STTR
Agency Tracking Number:
N09A-005-0521
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Dragonfly Pictures, Inc.
PO Box 202 West End of Second Street Essington, PA -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2009
Title: Realtime Determination and Prediction of Aircraft Trajectories Using Limited Sensor Data
Agency / Branch: DOD / NAVY
Contract: N68335-09-C-0594
Award Amount: $69,450.00
 

Abstract:

Dragonfly Pictures, Inc. (DPI) and UPENN propose to develop a novel real-time trajectory prediction tool called Trajectory Tree Prediction Planner (TTPP). TTPP is based on two ideas. First, since it is impossible to robustly predict a single trajectory of an aircraft if its full state and intent is unknown, we advocate generating a set (tree) of trajectories. Each of the trajectories will be associated with the probability of occurrence, and the cumulative probability of predicted trajectories will be near one. Second, while the prediction of multiple trajectories will be even more computationally expensive than the prediction of a single trajectory, we will generate these trajectories using our previously developed incremental planning algorithms (e.g., D* Lite, Anytime D*, Adaptive A*). These algorithms are specifically designed for solving repeated planning problems in real-time and compute the new paths orders of magnitude faster by re-using their previous planning efforts. These algorithms have been shown to work well on various unmanned ground and air vehicles and will therefore be well-suited to the problem of generating the tree of future trajectories in real-time.

Principal Investigator:

Jim Hacunda
Director, Systems Engineering
6105216115
JimHacunda@DragonflyPictures.com

Business Contact:

Gregory Piasecki
Driector, Commercialization
6105216115
GregoryPiasecki@DragonflyPictures.com
Small Business Information at Submission:

Dragonfly Pictures, Inc.
PO Box 202 West End of Second Street Essington, PA 19029

EIN/Tax ID: 232675311
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
University of Pennsylvania
GRASP Laboratory, Levine Hall
3330 Walnut Street
Philadelphia, PA 19104 6228
Contact: Maxim Likhachev
Contact Phone: (215) 746-2097
RI Type: Nonprofit college or university