Pilot Assistive Safe Landing Site Detection System, an Experimentation Using Fuzzy C Mean Clustering
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2014, Vol 4, Issue 10
Abstract
In a situation of emergency landing of an aircraft, finding a safe landing-site is vital to the survival of the passengers and the pilot. Conventionally the emergency landing-site is visually selected by the pilot by looking at the terrain through the cockpit. This is a required, fundamental skill acquired in the flight training program. However, many external environmental factors, i.e., fog, rain, illumination, etc., can significantly affect human vision so that the decision of choosing the optimal landing-site greatly depends on the pilot’s flight experience–the most significant internal factor–which can vary a lot among different pilots. An automatic pilot assistive safe landing-site detection system is proposed for aircraft emergency landing. The system automatically processes the aircraft mounted camera images and provides options for suitable landing areas. The pilot then makes the final decision by choosing from among them
Authors and Affiliations
Jeena Wilson
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