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.
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Acknowledgements
This work was supported in part by the National Natural Science Foundation of China (Grant Nos. 61501009, 61371134 and 61071137), the National Key Research and Development Program of China (2016YFB0501300, 2016YFB0501302), the Aerospace Science and Technology Innovation Fund of CASC, and the Fundamental Research Funds for the Central Universities.
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Wei, Q., Jiang, Z., Zhang, H., Nie, S. (2018). Spacecraft Component Detection in Point Clouds. In: Wang, Y., et al. Advances in Image and Graphics Technologies. IGTA 2017. Communications in Computer and Information Science, vol 757. Springer, Singapore. https://doi.org/10.1007/978-981-10-7389-2_21
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DOI: https://doi.org/10.1007/978-981-10-7389-2_21
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