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Implementation of Vision based Aero Plane Safe Landing-Area Detection System

Author(s):

Meghraj Prakash Agnihotri , Sir Visvesvaraya Institute Of Technology, Nashik; Archana A.Hatkar, Sir Visvesvaraya Institute Of Technology, Nasik

Keywords:

Aero plane safe landing-area detection system, K-Mean Method, field-of-view (FOV), Image Stitching (SIFT Algo.)

Abstract

Aero plane safe landing-area detection system is invented for aero plane emergency landing, which is based on images acquired by aeroplane-mounted cameras. In this system, top-four important factors of unplanned landing, (emergency landing) are aero plane hijack, running out of fuel, extremely bad weather, medical emergency. So, we focus on the detection mechanism of safe landing area. terrain images acquired by aircraft-mounted cameras(Here we used goggle map images) and image stitching for a bigger field-of-view (FOV) &image improvement for increased visibility have been performed .Specifically, we propose a horizon detection to identify the ground in the image. Then, Segmentation is used to find out various clusters based on Color, performed by K-Mean Method. Principle component analysis is used for feature extraction & Classification of various clusters done by Cross correlation Classifier. Dimension assessment is done by using blob Analysis. Then, detected landing sites are sorted in descending order, based on size of area. If the dimensions of a candidate region exceed the minimum requirement for safe landing, the potential landing-site is considered a safe candidate and is highlighted on the human machine interface. At the end the pilot makes the final decision by confirming one of the candidates and also by considering other factors such as wind speed& its direction.

Other Details

Paper ID: IJSRDV3I90664
Published in: Volume : 3, Issue : 9
Publication Date: 01/12/2015
Page(s): 921-925

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