Date of Award

Summer 2008

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Electrical & Computer Engineering

Program/Concentration

Electrical Engineering

Committee Director

Zia-ur Rahman

Committee Member

Vijayan K. Asari

Committee Member

Jiang Li

Call Number for Print

Special Collections LD4331.E55 G64 2008

Abstract

As air traffic is growing in leaps and bounds every day, flying safe has been a major concern in day to day life. Aviation safety is always dependent on the performance of the pilot and air traffic controllers. The very involvement of human discretion introduces judgment as a component of a safe takeoff and landing. A convenient and immediate alternative would be the use of technology to alleviate the problem. Several algorithms have been developed to solve this problem. However, most computer vision algorithms leave the task of interpreting the end data unaddressed. Juggling the myriad tasks during landing and take off along with interpreting the data would be a sure test of mental strength for the pilot. Rather than leaving the end task to the pilot, automating the whole process of hazard detection would be an optimal solution. By hazard detection we mean checking whether the runway is clear or if it has any unwanted obstacles. Edge detection seems to be a good technique to detect hazards on runways. Existing standard edge algorithms cannot automate edge detection easily. Hence, we propose the use of a new edge detection algorithm that would automate the process of hazard detection.

Rights

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DOI

10.25777/q895-j562

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