NASA SBIR 2015 Solicitation


PROPOSAL NUMBER: 15-1 A3.01-8953
SUBTOPIC TITLE: Advanced Air Traffic Management Systems Concepts
PROPOSAL TITLE: Airport Gate Activity Monitoring Tool Suite for Improved Turnaround Prediction

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)
Dr. Veera V. S. S. Vaddi
95 First Street, Suite 240
Los Altos, CA 94022 - 2777
(650) 559-8585 Extension :105

CORPORATE/BUSINESS OFFICIAL (Name, E-mail, Mail Address, City/State/Zip, Phone)
Dr. Victor H. L. Cheng
95 First Street, Suite 240
Los Altos, CA 94022 - 2777
(650) 559-8585

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

Technology Available (TAV) Subtopics
Advanced Air Traffic Management Systems Concepts is a Technology Available (TAV) subtopic that includes NASA Intellectual Property (IP). Do you plan to use the NASA IP under the award?

TECHNICAL ABSTRACT (Limit 2000 characters, approximately 200 words)
The objective of this research is to create a suite of tools for monitoring airport gate activities with the objective of improving aircraft turnaround. Airport ramp areas are the most crowded and cluttered spaces in the entire National Airspace System (NAS). Activities related to turnaround of the aircraft from the gate represent a significant source of delay and therefore impact the predictability of NAS operations. Optimal Synthesis Inc., seeks to leverage its expertise in monitoring aircraft in the ramp areas using video surveillance data and advanced computer vision algorithms towards building an advanced gate activity monitoring that will in turn enable a gate turnaround prediction tool. The tool suite will specifically identify the various stages of turnaround such as refueling, luggage unloading/loading, catering, and deicing. It will further create a probabilistic model of the times associated with each of these events, that will be used for predicting the future sequence of events and their predicted times of completion.

Phase I research will demonstrate the core ideas of gate activity recognition using state-of-the-art computer vision and machine learning algorithms. Phase II research will elevate the technology readiness level of this tool suite to work with real-time video surveillance streams.

POTENTIAL NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
The proposed gate activity monitoring tool suite can be used in the following NASA applications:
- The gate monitoring tool suite directly caters to objectives of the Networked ATM sub-project under the SMART NAS project. It increase gate operations predictability and reduce total cost of National Airspace System operations.
- Development of TBO concepts and enabling technology solutions that leverage revolutionary capabilities and that enable capacity, throughput, and efficiency gains within the various phases of gate-to-gate operations.
- The proposed suite of tools can enable autonomy/autonomous technologies and concepts for trajectory management and efficient/safe traffic flows.

POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
Low cost airport activity monitoring techniques are of considerable interest to FAA and airports in general. Moreover, computer vision based activity monitoring techniques are of significant interest in several areas such as warehouses, commercial office buildings, train stations, and bus stations.

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
Data Fusion
Image Analysis
Image Processing
Knowledge Management
Process Monitoring & Control

Form Generated on 04-23-15 15:37