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浏览/检索结果: 共6条，第1-6条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Optimal Hohmann-Type Impulsive Ellipse-to-Ellipse Coplanar Rendezvous 会议论文 ICAROB 2018: PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS, 2018-01-01 作者:  Tian, Xiwen;  Jia, Yingmin 收藏  |  浏览/下载：13/0  |  提交时间：2019/12/30 Optimal impulsive rendezvous  Hohmann-type rendezvous  ellipse-to-ellipse  optimal distribution   Optimal Four-impulse Ellipse-to-ellipse Coplanar Rendezvous 会议论文 35th Chinese Control Conference (CCC), Chengdu, PEOPLES R CHINA, 2016-07-27 作者:  Tian, Xiwen;  Jia, Yingmin;  Chen, Chanqing 收藏  |  浏览/下载：1/0  |  提交时间：2019/12/30 optimal four-impulse rendezvous  ellipse-to-ellipse rendezvous  coplanar rendezvous   Optimal Four-impulse Ellipse-to-ellipse Coplanar Rendezvous 会议论文 PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 2016-01-01 作者:  Tian, Xiwen;  Jia, Yingmin;  Chen, Chanqing 收藏  |  浏览/下载：1/0  |  提交时间：2019/12/30 optimal four-impulse rendezvous  ellipse-to-ellipse rendezvous  coplanar rendezvous   A sub-pixel extraction method for the center of the circular structure from spot array calibration target (EI CONFERENCE) 会议论文 2012 3rd International Conference on Information Technology for Manufacturing Systems, ITMS 2012, September 8, 2012 - September 9, 2012, Qingdao, China Liu Y.; Gao X.; Xu C.; Fu W.; Teng Y.; Yang H.; Zhang T. 收藏  |  浏览/下载：66/0  |  提交时间：2013/03/25 The imaging measurement system must be calibrated before application. In calibration procedure  sub-pixel center extraction is the crucial step for the final accuracy. In this paper  a new sub-pixel extraction method is proposed. Edge detection at pixel level is obtained using LOG operator  then sub-pixel edge detection is realized using the Facet model. Finally  the least squares ellipse fitting is operated on the sub-pixel edge to determine the sub-pixel center. Experiment on a series of simulated images indicates that this algorithm is able to realize the center location accuracy of 0.01-0.02 pixel  and meets the requirement of sub-pixel level. (2012) Trans Tech Publications  Switzerland.   The design of missile's dome that fits both optical and aerodynamic needs (EI CONFERENCE) 会议论文 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Smart Structures and Materials in Manufacturing and Testing, April 26, 2010 - April 29, 2010, Dalian, China Wei Q.; Zhang X.; Jia H. 收藏  |  浏览/下载：10/0  |  提交时间：2013/03/25 Optical guidance missiles requires a dome which fits both optical and aerodynamic needs when they attack at 3 Ma. In this study  ellipse is the figure chosen to be the dome's shape. The ellipticity is the main variable should to be decided. The optimized function was built by optical and aerodynamic performance function multiply by their weights. The optical and aerodynamic functions were all obtained by computational fluid dynamic (CFD) simulation's results after normalization. In this study  the optical and aerodynamic performances have equal weights  after optimzing the ellipticity is 2 for the missile. 2010 SPIE.   Affine object recognition and affine parameters estimation based on covariant matrix (EI CONFERENCE) 会议论文 2008 International Symposium on Information Science and Engineering, ISISE 2008, December 20, 2008 - December 22, 2008, Shanghai, China Ji H.; Li G.; Wang Y. 收藏  |  浏览/下载：64/0  |  提交时间：2013/03/25 A new method of affine object recognition and affine parameters estimation is presented. For a real-time image and a group of templates  in addition  firstly  on the basis of correct recognition  we segment the object regions in them and compute their covariant matrices. Secondly  it can estimate affine parameters exactly  normalize the ellipse regions defined by covariant matrices to circle regions to get rotational invariants  and the estimated error is within 3%. 2008 IEEE.  and compute the similarity function value between rotational invariants of real-time image and every template respectively. Then compare the values with threshold set in advance  if more than one value is larger than threshold  take the corresponding templates as candidates  and compute affine matrix between real-time image and every candidate. Finally  transform the realtime image with every affine matrix and match the result with corresponding candidate by classical matching methods. Experimental results show that the presented method is robust to illumination  with low computational complexity  and it can realize recognition of different affine objects