@inproceedings{542973efb4434f6185eb149c19370ebb,
title = "Vertiport Marking Detector for an Instrument Landing System",
abstract = "Vertiports in urban regions face space constraints, making precision landing technologies essential for safe urban air mobility (UAM). The United States Federal Aviation Administration (FAA) has recently released a new symbol for vertiport identification. However, comprehensive research on using this symbol for accurate UAM vehicle landings is lacking. To address this research gap, our study proposes a vision-based detection system specifically designed to identify the FAA vertiport marking. This system recognizes the vertiport marking, estimates the relative position and attitude by geometric transformation, and visualizes the pose estimation results using instruments similar to the instrument landing system. Results show the applicability of the proposed approach under UAM{\textquoteright}s operating conditions.",
keywords = "image processing, marker detection, precision landing, vertiport",
author = "Hyeonjeong Heo and Kyuman Lee",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; 12th International Conference on Robot Intelligence Technology and Applications, RiTA 2024 ; Conference date: 04-12-2024 Through 07-12-2024",
year = "2025",
doi = "10.1007/978-3-031-92011-0\_6",
language = "English",
isbn = "9783031920103",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "64--79",
editor = "Daehyung Park and Dae-Young Lee and Kim, \{Min Jun\} and Cunjia Liu",
booktitle = "Robot Intelligence Technology and Applications 9 - Results from the 12th International Conference on Robot Intelligence Technology and Applications",
address = "Germany",
}