Runway extraction in low visibility conditions based on sensor fusion method

Please use this identifier to cite or link to this item: https://doi.org/10.1109/JSEN.2014.2306911

Title:	Runway extraction in low visibility conditions based on sensor fusion method
Authors:	Liu, C. Zhao, Q. Zhang, Y. Tan, K.
Keywords:	approach and landing contour tracing. instrument landing system (ILS) Multi-sensor fusion synthetic vision
Issue Date:	2014
Citation:	Liu, C., Zhao, Q., Zhang, Y., Tan, K. (2014). Runway extraction in low visibility conditions based on sensor fusion method. IEEE Sensors Journal 14 (6) : 1980-1987. ScholarBank@NUS Repository. https://doi.org/10.1109/JSEN.2014.2306911
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. © 2014 IEEE.
Source Title:	IEEE Sensors Journal
URI:	http://scholarbank.nus.edu.sg/handle/10635/125102
ISSN:	1530437X
DOI:	10.1109/JSEN.2014.2306911
Appears in Collections:	Staff Publications

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