UAV-Based Airport Lights Inspection Without GNSS Positioning Support

The inspection of PAPI (precision approach path indicator), ALS (approach light system), and runway lights is the basis of maintenance actions that safeguard the safety of airport operations. These actions consist of measurements requiring the accurate positioning of reference viewing points. Commonly, GNSS-based methods are employed and augmentation procedures are applied to improve the positioning precision. Augmentation involves the use of additional sources of information such as reference stations and complicates the process of position calculations. An image processing-based method is proposed for triangulating the positions of reference viewing points during inspections of airfield lights using a UAV. The Structure-from-Motion (SfM) photogrammetric range imaging technique and airport geodesic data are the basis of the method. The measurement of PAPI transition angles is presented as an application example. The results are compared to GNSS-based measurements and prove the viability of the method.

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Publication Details

Journal
Remote Sensing
Published
2025-03-14
DOI
https://doi.org/10.3390/rs17061013
Primary Topic
Robotics and Sensor-Based Localization
Type
article
Field-Weighted Citation Impact
0.00
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article

UAV-Based Airport Lights Inspection Without GNSS Positioning Support

Tomasz Stenzel, T. Pamuła, Daria Żuchowska, Wiesław Pamuła et al.
Remote Sensing
Robotics and Sensor-Based Localization
article

UAV-Based Airport Lights Inspection Without GNSS Positioning Support

Tomasz Stenzel, T. Pamuła, Daria Żuchowska, Wiesław Pamuła, Maciej Sajkowski, Adam Rytter
article en

Abstract

The inspection of PAPI (precision approach path indicator), ALS (approach light system), and runway lights is the basis of maintenance actions that safeguard the safety of airport operations. These actions consist of measurements requiring the accurate positioning of reference viewing points. Commonly, GNSS-based methods are employed and augmentation procedures are applied to improve the positioning precision. Augmentation involves the use of additional sources of information such as reference stations and complicates the process of position calculations. An image processing-based method is proposed for triangulating the positions of reference viewing points during inspections of airfield lights using a UAV. The Structure-from-Motion (SfM) photogrammetric range imaging technique and airport geodesic data are the basis of the method. The measurement of PAPI transition angles is presented as an application example. The results are compared to GNSS-based measurements and prove the viability of the method.

Remote SensingVol. 17(6)
Silesian University of Technology (PL)
Openalex Percentile: Top 94%
Robotics and Sensor-Based Localization
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