• Electronics Optics & Control
  • Vol. 28, Issue 9, 75 (2021)
LAN Tingxin1, JIANG Jin2, SHANG Shuai1, and SHENG Shouzhao1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2021.09.016 Cite this Article
    LAN Tingxin, JIANG Jin, SHANG Shuai, SHENG Shouzhao. Detecting and Locating of Foreign Object Debris on Airport Runway[J]. Electronics Optics & Control, 2021, 28(9): 75 Copy Citation Text show less

    Abstract

    The detection of Foreign Object Debris (FOD) is of great significance to airports safety operations.To this enda set of UAV-based FOD detecting and locating system is designed.The system adopts the roundabout route planning strategy of multi-UAV collaboration to collect images across the airport runway.For FOD location marking probleman automatic aligning and stitching algorithm based on RootSIFT feature matching is proposed and used to restore the panoramic image of the airport runway.Finallythe Faster R-CNN detector is designed to realize the detecting and locating of FOD.The test results based on the measured data show thatthe system can improve the FOD detection efficiency and obtain a satisfactory detecting and positioning effect.
    LAN Tingxin, JIANG Jin, SHANG Shuai, SHENG Shouzhao. Detecting and Locating of Foreign Object Debris on Airport Runway[J]. Electronics Optics & Control, 2021, 28(9): 75
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