NASA SBIR 2011 Solicitation


PROPOSAL NUMBER: 11-1 A3.01-8393
SUBTOPIC TITLE: Concepts and Technology Development (CTD)
PROPOSAL TITLE: Safety Enhancement Technologies for Airport Ramp Area Operations

SMALL BUSINESS CONCERN (Firm Name, Mail Address, City/State/Zip, Phone)
Optimal Synthesis, Inc.
95 First Street, Suite 240
Los Altos, CA 94022 - 2777
(650) 559-8585

PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
Veera V Vaddi
95 First Street, Suite 240
Los Altos, CA 94022 - 2777
(650) 559-8585 Extension :105

Estimated Technology Readiness Level (TRL) at beginning and end of contract:
Begin: 1
End: 3

TECHNICAL ABSTRACT (Limit 2000 characters, approximately 200 words)
NASA has been involved in developing advanced automation systems for improving the efficiency of air-traffic operations, reducing controller workload and enhancing the safety in the national airspace system. The recent accident at John F. Kennedy International Airport in New York involving an A380 and CRJ700 highlights an important safety concern on airport surface where aircraft operate very closely. Even over the airport surface the ramp area is an area of significant safety concern. The Flight Safety Foundation estimates that 27,000 accidents occur on airport ramps worldwide each year, and 243,000 people are injured. The objective of the current research is to develop safety enhancement technologies specifically for the ramp area leveraging state of the art surveillance technologies, image processing algorithms, nonlinear state estimation algorithms, and computationally efficient collision detection algorithms. Optimal Synthesis Inc (OSI) has an extensive record in modeling and designing next generational airport surface operations. OSI's is also partnering with Prof. Jason Rife from Tufts University to seek his expertise in modeling surveillance systems.
Phase I research will demonstrate collision detection using sample image processing algorithms and inter-aircraft separation computation algorithms. Phase II research will develop more sophisticated tools to specialize the technologies for specific airport geometries.

POTENTIAL NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
Image processing and collision detection algorithms developed under the current research are expected to contribute towards NASA's NextGen air traffic management research, especially to the Safe and Efficient Surface Operations (SESO) research focus area.
In addition to the ramp area conflict detection application, the core image processing and collision detection algorithms are also expected to be applicable to other NASA research areas such as spacecraft formation flying and autonomous spacecraft rendezvous which is currently viewed as a very challenging research problem by NASA.

POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
Ramp areas in US airports are typically controlled by airlines. Industry experts estimate the airlines' cost resulting from ramp area accidents at $4 billion to $5 billion internationally each year. The proposed safety enhancement technologies are therefore of particular interest to both airports and the airlines involved in control of ramp area operations. Safety monitoring tools developed under the current research can also be used during ramp area design phase to identify and mitigate potential hazard areas.

TECHNOLOGY TAXONOMY MAPPING (NASA's technology taxonomy has been developed by the SBIR-STTR program to disseminate awareness of proposed and awarded R/R&D in the agency. It is a listing of over 100 technologies, sorted into broad categories, of interest to NASA.)
Air Transportation & Safety
Algorithms/Control Software & Systems (see also Autonomous Systems)
Image Analysis
Image Processing
Process Monitoring & Control
Transport/Traffic Control

Form Generated on 11-22-11 13:43