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Linear system design with application in wireless sensor networks 期刊论文  OAI收割
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION, 2022, 卷号: 27, 页码: 14
作者:  
Gao, Kaiye;  Peng, Rui;  Qu, Li;  Xing, Liudong;  Wang, Shouyang
  |  收藏  |  浏览/下载:22/0  |  提交时间:2023/02/07
SIMSF: A Scale Insensitive Multi-Sensor Fusion Framework for Unmanned Aerial Vehicles Based on Graph Optimization 期刊论文  OAI收割
IEEE ACCESS, 2020, 卷号: 8, 页码: 118273-118284
作者:  
Dai B(代波);  He YQ(何玉庆);  Yang LY(杨丽英);  Su Y(苏赟);  Yue, Yufeng
  |  收藏  |  浏览/下载:49/0  |  提交时间:2020/08/01
An Actuator Fault Detection and Reconstruction Scheme for Hex-Rotor Unmanned Aerial Vehicle 期刊论文  OAI收割
Ieee Access, 2019, 卷号: 7, 页码: 93937-93951
作者:  
R.J.Wang;  C.J.Zhao;  Y.Bai;  W.H.Du;  J.Y.Wang
  |  收藏  |  浏览/下载:12/0  |  提交时间:2020/08/24
Cooperative Stabilization of a Class of LTI Plants With Distributed Observers 期刊论文  OAI收割
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2017, 卷号: 64, 期号: 7, 页码: 1891-1902
作者:  
Liu, Kexin;  Zhu, Henghui;  Lu, Jinhu
  |  收藏  |  浏览/下载:24/0  |  提交时间:2018/07/30
Design and Analysis of a Sensor System for Cutting Force Measurement in Machining Processes 期刊论文  OAI收割
SENSORS, 2016, 卷号: 16, 期号: 1, 页码: 1-17
作者:  
Liang, Qiaokang;  Zhang, Dan;  Coppola, Gianmarc;  Mao, Jianxu;  Sun, Wei
收藏  |  浏览/下载:29/0  |  提交时间:2017/12/18
Study on time registration method for photoelectric theodolite data fusion (EI CONFERENCE) 会议论文  OAI收割
10th World Congress on Intelligent Control and Automation, WCICA 2012, July 6, 2012 - July 8, 2012, Beijing, China
Yang H.-T.; Gao H.-B.
收藏  |  浏览/下载:18/0  |  提交时间:2013/03/25
Research on infrared dim-point target detection and tracking under sea-sky-line complex background (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者:  
Dong Y.-X.;  Zhang H.-B.;  Li Y.;  Li Y.;  Li Y.
收藏  |  浏览/下载:111/0  |  提交时间:2013/03/25
Target detection and tracking technology in infrared image is an important part of modern military defense system. Infrared dim-point targets detection and recognition under complex background is a difficulty and important strategic value and challenging research topic. The main objects that carrier-borne infrared vigilance system detected are sea-skimming aircrafts and missiles. Due to the characteristics of wide field of view of vigilance system  the target is usually under the sea clutter. Detection and recognition of the target will be taken great difficulties.There are some traditional point target detection algorithms  such as adaptive background prediction detecting method. When background has dispersion-decreasing structure  the traditional target detection algorithms would be more useful. But when the background has large gray gradient  such as sea-sky-line  sea waves etc.The bigger false-alarm rate will be taken in these local area.It could not obtain satisfactory results. Because dim-point target itself does not have obvious geometry or texture feature  in our opinion  from the perspective of mathematics  the detection of dim-point targets in image is about singular function analysis.And from the perspective image processing analysis  the judgment of isolated singularity in the image is key problem. The foregoing points for dim-point targets detection  its essence is a separation of target and background of different singularity characteristics.The image from infrared sensor usually accompanied by different kinds of noise. These external noises could be caused by the complicated background or from the sensor itself. The noise might affect target detection and tracking. Therefore  the purpose of the image preprocessing is to reduce the effects from noise  also to raise the SNR of image  and to increase the contrast of target and background. According to the low sea-skimming infrared flying small target characteristics  the median filter is used to eliminate noise  improve signal-to-noise ratio  then the multi-point multi-storey vertical Sobel algorithm will be used to detect the sea-sky-line  so that we can segment sea and sky in the image. Finally using centroid tracking method to capture and trace target. This method has been successfully used to trace target under the sea-sky complex background. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).  
Designing and development of multi-DSP real-time image processing system based on FPGA (EI CONFERENCE) 会议论文  OAI收割
2011 International Conference on Computer Science and Network Technology, ICCSNT 2011, December 24, 2011 - December 26, 2011, Harbin, China
Wei H.
收藏  |  浏览/下载:21/0  |  提交时间:2013/03/25
To improve the image processing system of resolution capability and reliability  image processing system in a growing number of multi-sensor model. In this mode  the use of the current main stream single DSP + FPGA hardware architecture for image processing algorithms have already unable to meet the operational requirements of real-time. This paper proposed a new hardware architecture that is the three DSPs based on FPGA. With the traditional master-slave architectures is different  three DSP's external interfaces are connected with FPGA and other peripheral interfaces are connected to the FPGA. In the architecture  DSP is in the same position three and FPGA flow control for data management and other function to achieve. This connection has a strong restructuring and expansion  software development and more flexible. 2011 IEEE.  
Application of multi-sensor data fusion technology in target recognition 会议论文  OAI收割
2011 3rd International Conference on Advanced Computer Control (ICACC 2011), Harbin, China, January 18-20, 2011
作者:  
Xiao YH(肖阳辉);  Shi ZL(史泽林)
收藏  |  浏览/下载:25/0  |  提交时间:2012/06/06
基于多传感器信息的移动式服务机器人定位与控制技术 学位论文  OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2010
作者:  
王华伟
收藏  |  浏览/下载:51/0  |  提交时间:2015/09/02