Performance Evaluation of Airport Lighting Using Mobile Camera Techniques

Chowdhury, Shyama Prosad; McMenemy, Karen; Jia, Peng

doi:10.1007/978-3-642-03767-2_142

Cited by 3 publications

(5 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Using this rank order we were able to determine if luminaires were ranked correctly as underperforming. In addition, in order to prove that the incorporation of a CF into the performance evaluation improves the quality of the results, we compared the technique we propose in this paper to a previously published performance evaluation technique [1]. This is shown in Table I.…”

Section: Resultsmentioning

confidence: 97%

“…Success rate is defined as the ratio of the number of successful identified luminaires operating at reduced efficiency over the number of known luminaires set at reduced efficiency for the simulation. The fields S New and S Old in the tables represent the success rate of the proposed system and the previous system [1]. Also the different bands, band 1, band 2, band-3 are labelled as B-1, B-2, B-3 and so on.…”

Section: Resultsmentioning

confidence: 99%

“…[1]. The advantage of the PGM over the algorithm proposed in [1] is that the PGM considers the parallel growing of luminaire regions instead of sequential region growing. This is important in the case of merged luminaires.…”

Section: A Parallel Growing Model (Pgm)mentioning

confidence: 97%

“…To determine the distance between the camera and a given luminaire computer vision techniques, along with knowledge of the intrinsic parameters of the camera are used. This distance information, along with the extracted pixel information per luminaire are used by current performance evaluation methods to estimate or rank individual luminaire performance [1]. However this does not take into consideration the quality of the data used.…”

Section: L Uminaire Performance Comparison Techniquementioning

confidence: 99%

“…To satisfy this need the authors have developed a technique to determine the performance of airport lighting. This is reviewed in more detail in [1]. Essentially cameras are placed inside an aircraft and used to record images of the landing lighting as the aircraft approaches an airport to land.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Confidence factor determination for performance evaluation of lighting pattern

Chowdhury

Rafferty

Ferguson

2010

13th International IEEE Conference on Intelligent Transportation Systems

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Resultsmentioning

confidence: 97%

Section: Resultsmentioning

confidence: 99%