@inproceedings{e556d5f201b2409ab48174867aa85d92,
title = "Spacecraft component detection in point clouds",
abstract = "Component detection of spacecraft is significant for on-orbit operation and space situational awareness. Solar wings and main body are the major components of most spacecrafts, and can be described by geometric primitives like planes, cuboid or cylinder. Based on this prior, pipeline to automatically detect the basic components of spacecraft in 3D point clouds is presented, in which planes, cuboid and cylinder are successively detected. The planar patches are first detected as possible solar wings in point clouds of the recorded object. As for detection of the main body, inferring a cuboid main body from the detected patches is first attempted, and a further attempt to extract a cylinder main body is made if no cuboid exists. Dimensions are estimated for each component. Experiments on satellite point cloud data that are recovered by image-based reconstruction demonstrated effectiveness and accuracy of this pipeline.",
keywords = "Component detection, Point clouds, Spacecraft, Structure analysis",
author = "Quanmao Wei and Zhiguo Jiang and Haopeng Zhang and Shanlan Nie",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2018.; 12th Chinese conference on Advances in Image and Graphics Technologies, IGTA 2017 ; Conference date: 30-06-2017 Through 01-07-2017",
year = "2018",
doi = "10.1007/978-981-10-7389-2\_21",
language = "英语",
isbn = "9789811073885",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "210--218",
editor = "Xiaoru Yuan and Duh, \{Henry Been-Lirn\} and Yongtian Wang and Yue Liu and Jian Yang and Shengjin Wang and Ran He",
booktitle = "Advances in Image and Graphics Technologies - 12th Chinese conference, IGTA 2017, Revised Selected Papers",
address = "德国",
}