@inproceedings{abffadba8b46430691d2830ecbc97f8c,
title = "A Camera-Based Real-Time Parking Positioning Method for Air-Ground Vehicles",
abstract = "Air-ground vehicles expand the road from ground to low altitude, which can effectively improve the traffic efficiency. However, there is still a lack of research on real-time accurate autonomous parking technology for its multi-modules docking stage. We propose a camera-based real-time recognition and localization framework. Firstly, the camera internal and external reference calibration is conducted to derive the real-world coordinate from image pixels. Then, the image feature extraction is adopted to detect representative features of ArUco markers. Finally, an optimization-based edge refinement method is proposed to achieve the accurate localization of the contours of ArUco markers. Our method achieves an average computational speed of 5.23 ms/frame and a maximum localization error of 3.47 mm for the detection in video sequences under various working conditions.",
keywords = "Air-ground vehicles, Edge refinement, Parking positioning",
author = "Lingyun Wu and Weida Wang and Chao Yang and Xing Yue and Changle Xiang and Ying Li",
note = "Publisher Copyright: {\textcopyright} 2023, Beijing HIWING Sci. and Tech. Info Inst.; International Conference on Autonomous Unmanned Systems, ICAUS 2022 ; Conference date: 23-09-2022 Through 25-09-2022",
year = "2023",
doi = "10.1007/978-981-99-0479-2_96",
language = "English",
isbn = "9789819904785",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "1062--1071",
editor = "Wenxing Fu and Mancang Gu and Yifeng Niu",
booktitle = "Proceedings of 2022 International Conference on Autonomous Unmanned Systems, ICAUS 2022",
address = "Germany",
}