中国科学院机构知识库网格系统: 检索

Image Segmentation of Cabin Assembly Scene Based on Improved RGB-D Mask R-CNN 期刊论文 OAI收割
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 12
作者: Fu, Yichen

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收藏 | 浏览/下载：37/0 | 提交时间：2022/06/06

Image segmentation Robustness Production Position measurement Feature extraction Deep learning Adaptation models Cabin docking cabin pose measurement deep neural network (DNN) red-green-blue-depth (RGB-D) image segmentation RGB-D sensor

Optimal Design of a High Accuracy Photoelectric Auto-collimator based on Position Sensitive Detector 会议论文 OAI收割
Nanjing, PEOPLES R CHINA, 2017-10-24
作者: Yan, Pei-pei; Yang, Yong-qing; She, Wen-ji; Liu, Kai; Jiang, Kai

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收藏 | 浏览/下载：55/0 | 提交时间：2018/07/05

Optical System Design Auto-collimator Telephoto Objective Position Sensitive Detector Sensor

A charge-amplifier based self-sensing method for measurement of piezoelectric displacement 会议论文 OAI收割
Takamatsu, Japan, 2017-08-06
作者: Du, Zhangming; Zhang, Tianlu; Deng, Lu; Zhou, Chao; Cao, Zhiqiang

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收藏 | 浏览/下载：38/0 | 提交时间：2022/06/13

Nano manipulation, self-sensing, position measure, sensor characteristics

Collision position sensing for manipulator using force/torque sensor 会议论文 OAI收割
Hangzhou, China, July 28-30, 2015
作者: Leng YQ(冷雨泉); Chen ZC(陈正仓); Zhang W(张伟); Zhang Y(张阳); He X(何旭)

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收藏 | 浏览/下载：24/0 | 提交时间：2015/11/22

Collision Position Force/torque Sensor Skin Sensor Manipulator

Research on Application of IOT in Domestic Waste Treatment and Disposal 会议论文 OAI收割
11th World Congress on Intelligent Control and Automation (WCICA 2014), Shenyang, China, June 29 - July 4, 2014
作者: Wang JY(王景杨); Cao Y(曹宇); Yu GP(于广平); Yuan MZ(苑明哲)

收藏 | 浏览/下载：40/0 | 提交时间：2014/12/29

Internet of Things (IOT) Radio Frequency　Identification (RFID) Geographical Information System (GIS) 　Global Position System (GPS) Sensor Network

Experimental Study of Cooperative Obstacle Avoidance between Aerial and Ground Vehicles Using Multi-RFRs Testbed 会议论文 OAI收割
2011 IEEE International Conference on Robotics and Biomimetics (ROBIO), Phuket, Thailand, December 7-11, 2011
作者: Wang Z(王争); Gu F(谷丰); He YQ(何玉庆); Han JD(韩建达); Wang YC(王越超)

收藏 | 浏览/下载：18/0 | 提交时间：2012/06/06

Collision avoidance Joints Position measurement Robot kinematics Robot sensing systems Sensor systems

Design of motion adjusting system for space camera based on ultrasonic motor (EI CONFERENCE) 会议论文 OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Space Exploration Technologies and Applications, May 24, 2011 - May 26, 2011, Beijing, China
作者: Sun Z.

收藏 | 浏览/下载：94/0 | 提交时间：2013/03/25

Drift angle is a transverse intersection angle of vector of image motion of the space camera. Adjusting the angle could reduce the influence on image quality. Ultrasonic motor (USM) is a new type of actuator using ultrasonic wave stimulated by piezoelectric ceramics. They have many advantages in comparison with conventional electromagnetic motors. In this paper some improvement was designed for control system of drift adjusting mechanism. Based on ultrasonic motor T-60 was designed the drift adjusting system which is composed of the drift adjusting mechanical frame the ultrasonic motor the driver of Ultrasonic Motor the photoelectric encoder and the drift adjusting controller. The TMS320F28335 DSP was adopted as the calculation and control processor photoelectric encoder was used as sensor of position closed loop system and the voltage driving circuit designed as generator of ultrasonic wave. It was built the mathematic model of drive circuit of the ultrasonic motor T-60 using matlab modules. In order to verify the validity of the drift adjusting system was introduced the source of the disturbance and made simulation analysis. It designed the control systems of motor drive for drift adjusting system with the improved PID control. The drift angle adjusting system has such advantages as the small space simple configuration high position control precision fine repeatability self locking property and low powers. It showed that the system could accomplish the mission of drift angle adjusting excellent. 2011 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：22/0 | 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.

Geometrical modulation transfer function of different active pixel of CMOS APS (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: Li J.; Liu J.; Liu J.; Liu J.; Li J.

收藏 | 浏览/下载：32/0 | 提交时间：2013/03/25

The geometrical Modulation Transfer Function (MTF) of CMOS APS (active pixel sensor) is analyzed in this paper. Advanced APS have been designed and fabricated where different pixel shapes such as square rectangle and L shape were placed because the amplifier circuit and other function circuits inter pixel of APS take up some pixel area. MTF is an important figure of merit in focal plane array imaging sensors. Research on analyzing the MTF for the proper pixel shape is currently in progress for a centroidal configuration of a target position. MTF will give us a more complete understanding of the tradeoffs opposed by the different pixel designs and by the signal processing conditions. Based on image sensor sampling and reconstructing model the MTF expression of any active pixel shape has been deduced in this paper. According to actual pixel shape three different active area pixels were analyzed they were square rectangle and L shape their Fill Factor (FF) is 30% 44% and 55% respectively. Results of simulation experiments indicate that different pixel geometrical characteristics contribute significantly to the figures of their MTF. Different geometrical shape of active sensitive area of pixel and different station in pixel would influence MTF figures. The analysis results are important in designing better APS pixel and more important in analyzing imaging system performance of APS subpixel precision system.

Active pixel sensor geometrical characteristic effects on star image subdivided locating accuracy for star tracker (EI CONFERENCE) 会议论文 OAI收割
ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China
作者: Liu J.; Liu J.; Liu J.; Li J.; Li J.

收藏 | 浏览/下载：32/0 | 提交时间：2013/03/25

Active pixel sensor (APS) star tracker becomes an investigated hotspot because of its technical advantages. And centroid algorithm is a subpixel method proper to star position calculation because of its high accuracy and simplicity. When centroid algorithm is applied on APS star tracker APS pixel geometrical characteristics might effect on star image position accuracy. Because the amplifier circuit and other function circuits inter pixel of APS take up some pixel area the Fill Factor is less than 100%. Moreover the active sensitive area has a certain geometrical shape such as square rectangle and L shape. The Fill Factor of pixel influences on star image subdivided locating accuracy when using centioid algorithm. In this paper we have analyzed all pixel geometrical characteristics influence on the star position accuracy. From simulation experiments we can conclude that Fill factor and pixel geometric shape influence on star position accuracy. The star locating error increased when Fill Factor decreased and different geometrical shape of active sensitive area of pixel can make different influence on star location accuracy the symmetrical sensitive area in x or y axis have symmetrical location error in the same axis.