Simulation and performance assessment of airport landing lighting

Chowdhury, Shyama Prosad; Rafferty, Karen; Ferguson, Stuart

doi:10.1109/itsc.2010.5625167

Cited by 3 publications

(4 citation statements)

References 9 publications

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“…This includes two sets of real videos taken during an approach to an airport in Northern Ireland and eight sets of simulated image sequences as generated using the technique described in [55]. Each video has approximately 200 images.…”

Section: Resultsmentioning

confidence: 99%

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Multiple Luminaire Identification in Airborne Images of Airport's Approach Lighting Using Mathematical Morphology With Variable Length Structuring Element

Chowdhury

Rafferty

Ferguson

2012

IEEE J. Sel. Top. Signal Process.

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Abstract-In night aviation, to land an aircraft, a pilot needs to be able to identify an airport. The approach lighting system (ALS) at an airport is used to provide identification and guidance to pilots. ALS consists of more than 100 luminaires which are installed in a defined pattern following strict guidelines by the International Civil Aviation Organization (ICAO). ICAO also has strict regulations for maintaining the performance level of the luminaires. However, to date there is no automated technique by which to monitor the performance of the lighting. We suggest using images of the lighting pattern captured using a camera placed inside an aircraft. Based on the information contained within these images, the performance of the luminaires has to be evaluated which requires identification of over 100 luminaires within the pattern of ALS image. This research proposes analysis of the pattern using morphology filters which use a variable length structuring element (VLSE). The dimension of the VLSE changes continuously within an image and varies for different images. A novel technique for automatic determination of the VLSE is proposed and it allows successful identification of the luminaires from the image data as verified through the use of simulated and real data.Index Terms-Approach lighting system, block wise image analysis, composite structure construction, inter luminaire distance approximation, pattern analysis, tracking of luminaires.

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Section: Resultsmentioning

confidence: 99%

“…1(b). However, as the luminaires are closely placed with each other in an image, it is quite often that they are not individually segmented [55] after the IIR analysis. Vibration in the sensor plane when recording an image may turn the situation worse as luminaires form streak in the image due to heavy movement in the sensor plane [49].…”

mentioning

confidence: 99%

Multiple Luminaire Identification in Airborne Images of Airport's Approach Lighting Using Mathematical Morphology With Variable Length Structuring Element

Chowdhury

Rafferty

Ferguson

2012

IEEE J. Sel. Top. Signal Process.

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“…That is, we collected image data from a virtual lighting pattern [3] where the performance of each luminaire in the pattern is known. A perfect luminaire operates at 100% luminance intensity (band 1 performance).…”

Section: Resultsmentioning

confidence: 99%

“…It is beyond the scope of this paper to outline the development and validity of the simulated model. This is instead addressed in [3]. However, it is important to note that the simulated data produced very similar results to the real data and we are happy that the simulated data is an accurate representation of what happens in real life.…”

Section: Luminaire Performance Assessmentmentioning

confidence: 95%

Confidence factor determination for performance evaluation of lighting pattern

Chowdhury

Rafferty

Ferguson

2010

13th International IEEE Conference on Intelligent Transportation Systems

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In this paper the authors propose a new technique for determining a confidence factor applied to the performance prediction of individual luminaires within an overall pattern of luminaires. This work has relevance to any application where it is necessary to determine the performance of a lighting pattern e.g. street lighting, signal lighting etc. In this paper we apply our technique to a transportation application, namely, an airport landing lighting pattern. In the aviation industry it is imperative that the landing lighting pattern at individual airports performs according to standards. We have developed an automated technique which can be used to access the performance of luminaires within this pattern. We extend this work to also derive a confidence factor related to this prediction based on the quality of the data being utilised.

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