CORC

浏览/检索结果: 共7条,第1-7条 帮助

限定条件                
已选(0)清除 条数/页:   排序方式:
Sensor faults tolerance control for a novel multi-rotor aircraft based on sliding mode control 期刊论文
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING, 2019, 卷号: 233, 期号: 1, 页码: 180-196
作者:  Guo, Xiaojun;  Zhang, Lei;  Gong, Xun;  Peng, Cheng;  Tian, Yantao
收藏  |  浏览/下载:82/0  |  提交时间:2019/05/22
High-resolution vehicle-based adaptive optical system with two-grade tip/tilt correction 期刊论文
Optoelectronics Letters, 2018, 卷号: 14, 期号: 6, 页码: 411-416
作者:  Ming, Ming;  Chen, Tao;  Xu, Tian-shuang
收藏  |  浏览/下载:5/0  |  提交时间:2019/09/17
Hex-Rotor无人飞行器执行单元的故障分析与飞行控制 学位论文
博士: 中国科学院大学, 2015
作者:  赵常均
收藏  |  浏览/下载:48/0  |  提交时间:2015/11/30
新型空间飞行器交会对接光学系统研究 学位论文
博士: 中国科学院大学, 2015
作者:  吕博
收藏  |  浏览/下载:25/0  |  提交时间:2015/11/30
模块化大温变可见光探测器结构轻量化设计 学位论文
硕士: 中国科学院大学, 2014
杨维
收藏  |  浏览/下载:34/0  |  提交时间:2015/05/03
密珠导轨式光电探测器调焦机构的结构设计与精度试验 学位论文
硕士: 中国科学院大学, 2014
占潜
收藏  |  浏览/下载:41/0  |  提交时间:2015/05/03
Real-time motive vehicle detection with adaptive background updating model and HSV colour space (EI CONFERENCE) 会议论文
4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, November 19, 2008 - November 21, 2008, Chengdu, China
Rong-Hui Z.; Bai Y.; Hong-guang J.; Chen T.
收藏  |  浏览/下载:59/0  |  提交时间:2013/03/25
In the transportation monitor system  we set up the area of interest (AOI) of the vehicle model and adjust the size of AOI dynamically in order to track vehicle accurately. The results of experiment show that  motive vehicle detection by adopting digital image is one of key technologies. To detect motive vehicle accurately  the arithmetic proposed in the paper can suppress shadow availably  we establish an adaptive background updating model firstly. Noise is suppressed by using modality filter  detect motive vehicle accurately and satisfy real-time motive vehicle tracking. 2009 SPIE.  and we obtain binary image by using maximum entropy to choose dynamic adaptive threshold. Based on positive information of shadow and aspect feature of motive vehicle  we adopt HSV colour space and double threshold to solve the problem of vehicle shadow. According to prediction result of Kalman filtering  


©版权所有 ©2017 CSpace - Powered by CSpace