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Behavior-based Autonomous Navigation and Formation Control of Mobile Robots in Unknown Cluttered Dynamic Environments with Dynamic Target Tracking 期刊论文  OAI收割
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 766-786
作者:  
Nacer Hacene
  |  收藏  |  浏览/下载:22/0  |  提交时间:2021/09/13
A New Composite Spiral Scanning Approach for Beaconless Spatial Acquisition and Experimental Investigation of Robust Tracking Control for Laser Communication System with Disturbance 期刊论文  OAI收割
IEEE PHOTONICS JOURNAL, 2020, 卷号: 12, 期号: 6, 页码: 13
作者:  
Zhang, Min;  Li, Bo;  Tong, Shoufeng
  |  收藏  |  浏览/下载:34/0  |  提交时间:2021/03/23
T-S tracking algorithm based on context auxiliary feature 期刊论文  OAI收割
Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2018, 卷号: 26, 期号: 8, 页码: 2122-2131
作者:  
Song, Ce;  Zhang, Bao;  Song, Yu-Long;  Qian, Feng
  |  收藏  |  浏览/下载:23/0  |  提交时间:2019/09/17
Tracking error estimate for theodolite based on general regression neural network (EI CONFERENCE) 会议论文  OAI收割
3rd international Conference on Manufacturing Science and Engineering, ICMSE 2012, March 27, 2012 - March 29, 2012, Xiamen, China
作者:  
Li M.
收藏  |  浏览/下载:28/0  |  提交时间:2013/03/25
Design and DSP implementation of star image acquisition and Star point fast acquiring tracking (EI CONFERENCE) 会议论文  OAI收割
2nd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, November 2, 2005 - November 5, 2005, Zian, China
作者:  
Wang X.;  Wang X.;  Wang X.
收藏  |  浏览/下载:29/0  |  提交时间:2013/03/25
Star sensor is a special high accuracy photoelectric sensor. Attitude acquisition time is an important function index of star sensor. In this paper  the design target is to acquire 10 samples per second dynamic performance. On the basis of analyzing CCD signals timing and star image processing  a new design and a special parallel architecture for improving star image processing are presented in this paper. In the design  the operation moving the data in expanded windows including the star to the on-chip memory of DSP is arranged in the invalid period of CCD frame signal. During the CCD saving the star image to memory  DSP processes the data in the on-chip memory. This parallelism greatly improves the efficiency of processing. The scheme proposed here results in enormous savings of memory normally required. In the scheme  DSP HOLD mode and CPLD technology are used to make a shared memory between CCD and DSP. The efficiency of processing is discussed in numerical tests. Only in 3.5ms is acquired the five lightest stars in the star acquisition stage. In 43us  the data in five expanded windows including stars are moved into the internal memory of DSP  and in 1.6ms  five star coordinates are achieved in the star tracking stage.  
A segment detection method based on improved Hough transform (EI CONFERENCE) 会议论文  OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者:  
Yao Z.-J.
收藏  |  浏览/下载:29/0  |  提交时间:2013/03/25
Hough transform is recognized as a powerful tool in shape analysis which gives good results even in the presence of noise and the disconnection of edge. However  3. applying the standard Hough transform equation to every point of the input image edge  4. according to the local threshold  6. merging the segments whose extreme points are near. Experiment results show the approach not only can recognize regular geometric object but also can extract the segment feature of real targets in complex environment. So the proposed method can be used in the target detection of complicated scenes  traditional Hough transform can only detect the lines  2. quantizing the parameter space  and extracting a group of maximums according to the global threshold  eliminating spurious peaks which are caused by the spreading effects  and will improve the precision of tracking.  cannot give the endpoints and length of the line segments and it is vulnerable to the quantization errors. Based on the analysis of its limitations  Hough transform has been improved in order to detect line segment feature of targets. The algorithm aims to avoid the loss of spatial information  as well as to eliminate the spurious peaks and fix on the line segments endpoints accurately  5. fixing on the endpoints of the segments according to the dynamic clustering rule  which can expediently be used for the description and classification of regular objects. The method consists of 6 steps: 1. setting up the image  parameter and line-segment spaces  
Auction-based dynamic coalition for single target tracking in wireless sensor networks 会议论文  OAI收割
6th World Congress on Intelligent Control and Automation, Dalian, China, June 21-23, 2006
作者:  
Chen JX(陈剑霞);  Zang CZ(臧传治);  Liang W(梁炜);  Yu HB(于海斌)
收藏  |  浏览/下载:29/0  |  提交时间:2012/06/06
The advanced position compensation to improve the dynamic tracking ability for fast moving target in an optoelectronic tracking system (EI CONFERENCE) 会议论文  OAI收割
ICO20: Optical Devices and Instruments, August 21, 2005 - August 26, 2005, Changchun, China
作者:  
Zhao L.;  Chen J.
收藏  |  浏览/下载:21/0  |  提交时间:2013/03/25
The servo control system of the optoelectronic tracking equipment usually is a kind of SISO. When the fast moving target is tracked  the over-tune of the servo system is the main representation for the dynamic tracking error. As the result  the tracking ability may be improved by limiting the over-tune. We put forward a method  the advanced position compensation (called as APC in short)  which is to check the speed-overtune by applying the advanced position information. For the large accelerate target  small over-tune tracking is achieved  but it lowers the ability for tracking the sine signal at low frequency area. While the dynamic high-type can improve the tracking precision for the sine signal at low frequency area  we work out a brand-new method  which combines the advantages of the both. It increases the tracking precision in the whole frequency band at large scale for the optoelectronic tracking system. The simulation results show that when the target moves with the largest accelerate 120/s2  120/s  the maximum static tracking error is about 0.6.