@inproceedings{905852251afd4bb7b4f90efbbc2c423e,
title = "Cascade Improved Visual Detection and Distance Estimation in Formation of Micro Unmanned Aerial Vehicles",
abstract = "According to the localization of UAVs in formation, this paper has proposed a visual based method using cascade classifiers of LBP and Haar-like features to realize UAVs{\textquoteright} detection and distance estimation. Since the phenomenon of overlapping in formation has an obvious influence on the performance of detection, this paper adopts the method of integrating two classifiers with different features (LBP and Haar) to improve the performance of detector. For the purpose of enhancing the precision of distance estimation, an optimized method is proposed based on the prediction of UAV{\textquoteright}s attitude. The description of coordination is deducted to obtain accurately relative position from visual information. The results of test videos verify the performance of proposed method on the application of UAVs formation.",
keywords = "Cascade, Localization, UAVs formation",
author = "Jiankun Sun and Yanxuan Wu and Xutan Lu and Yunduo Feng",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Singapore Pte Ltd.; 11th International Conference on Modelling, Identification and Control, ICMIC 2019 ; Conference date: 13-07-2019 Through 15-07-2019",
year = "2020",
doi = "10.1007/978-981-15-0474-7_71",
language = "English",
isbn = "9789811504730",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer",
pages = "755--765",
editor = "Rui Wang and Zengqiang Chen and Weicun Zhang and Quanmin Zhu",
booktitle = "Proceedings of the 11th International Conference on Modelling, Identification and Control, ICMIC 2019",
address = "Germany",
}