DocumentCode :
106587
Title :
Runway Extraction in Low Visibility Conditions Based on Sensor Fusion Method
Author :
Changjiang Liu ; Qijun Zhao ; Yi Zhang ; Kokkiong Tan
Author_Institution :
Coll. of Comput. Sci., Chengdu, China
Volume :
14
Issue :
6
fYear :
2014
fDate :
Jun-14
Firstpage :
1980
Lastpage :
1987
Abstract :
This paper presents the design and implementation of a low-cost vision-based system for an aircraft during approach and landing under low visibility. The system is based on combination of multisensor fusion strategy and image processing algorithm, where no expensive equipments, such as millimeter wave radar, are needed. It is aiming to alleviate restrictions in airspace and airport capacity in low visibility conditions by augmenting the naturally existing visual cues. With the fusion approach, pilots are able to identify the runway under low visibility conditions.
Keywords :
aircraft landing guidance; airports; computer vision; roads; sensor fusion; aircraft landing; airport capacity; airspace capacity; image processing algorithm; low visibility condition; low-cost vision-based system; multisensor fusion strategy; runway extraction; sensor fusion method; Airports; Atmospheric modeling; Cameras; Global Positioning System; Sensor fusion; Visualization; Multi-sensor fusion; approach and landing; contour tracing; instrument landing system (ILS); synthetic vision;
fLanguage :
English
Journal_Title :
Sensors Journal, IEEE
Publisher :
ieee
ISSN :
1530-437X
Type :
jour
DOI :
10.1109/JSEN.2014.2306911
Filename :
6744584
Link To Document :
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