Variable gain control of elastic crane using vision sensor data

Author(s):  
Mustafa Turki Hussein ◽  
Dirk Soffker
Author(s):  
N.S. Allen ◽  
R.D. Allen

Various methods of video-enhanced microscopy combine TV cameras with light microscopes creating images with improved resolution, contrast and visibility of fine detail, which can be recorded rapidly and relatively inexpensively. The AVEC (Allen Video-enhanced Contrast) method avoids polarizing rectifiers, since the microscope is operated at retardations of λ/9- λ/4, where no anomaly is seen in the Airy diffraction pattern. The iris diaphram is opened fully to match the numerical aperture of the condenser to that of the objective. Under these conditions, no image can be realized either by eye or photographically. Yet the image becomes visible using the Hamamatsu C-1000-01 binary camera, if the camera control unit is equipped with variable gain control and an offset knob (which sets a clamp voltage of a D.C. restoration circuit). The theoretical basis for these improvements has been described.


2010 ◽  
Vol 32 (11) ◽  
pp. 2772-2775
Author(s):  
Fei-hua Chen ◽  
Xin-zhong Duo ◽  
Xiao-wei Sun

2012 ◽  
Vol 241-244 ◽  
pp. 2215-2220
Author(s):  
Gao Wei Gu ◽  
En Zhu

A 10Gbit/s burst-mode transimpedance preamplifier is described. Regulated cascade (RGC) TIA core with variable gain, fast response peak detector, single-to-differential and output buffer are included, providing auto-gain-control and threshold extraction functions. The burst-mode preamplifier is implemented by 0.13µm CMOS technology, presents a high gain of 67.9dB with a 3-dB bandwidth of 6.92GHz and a low gain of 57.4dB with a 3-dB bandwidth of 8.60GHz with a settling time less than 20ns.


2020 ◽  
Vol 28 (1) ◽  
pp. 163-171 ◽  
Author(s):  
Bram Hunnekens ◽  
Sjors Kamps ◽  
Nathan Van De Wouw

2016 ◽  
Vol 693 ◽  
pp. 1397-1404 ◽  
Author(s):  
Qi Long Wang ◽  
Jian Yong Li ◽  
Hai Kuo Shen ◽  
Teng Teng Song ◽  
Yan Xuan Ma

The system of binocular vision sensor was used in the air-to-air close air target positioning in the paper. Due to the limitation of model itself, the measurement accuracy along the direction of optical axis is far lower than the accuracy of vertical direction. In order to improve the measurement accuracy of the optical axis, the paper put forward to using laser range sensor to cooperate with binocular vision sensor; Then the paper proposed adopts adaptive weighted fusion algorithm of multi-sensor information fusion to improve the utilization efficiency of multi-sensor information and to make the results accurately; Finally, the parameters of the system were calibration respectively and experiment is simulated, experimental results show that the position system is feasibility and effectiveness.


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