The Experts below are selected from a list of 45 Experts worldwide ranked by ideXlab platform
W Yang - One of the best experts on this subject based on the ideXlab platform.
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the mit vision chip project analog vlsi systems for fast image acquisition and early vision processing
International Conference on Robotics and Automation, 1991Co-Authors: J L Wyatt, D L Standley, W YangAbstract:The goal of the MIT Vision Chip Project is to design and build prototype analog early vision systems that are remarkably low-power, small, and fast. The typical system will perform one or more computation-intensive image-processing tasks at hundreds to thousands of frames per second using only tens to hundreds of milliwatts. The entire system with lens, imager, power supply and Support Circuitry can fit inside a cigar box. The authors briefly outline the overall project and describe two tested chips in some detail. Particular attention is given to a fast imager and processor chip for object position and orientation, and to an integrated ccd (charge-coupled device) imager and processors for edge detection. >
Lj Ristic - One of the best experts on this subject based on the ideXlab platform.
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integrated micromachined magnetic field sensor with on chip Support Circuitry
Applied Physics Letters, 1994Co-Authors: Makarand Paranjape, I M Filanovsky, Lj RisticAbstract:This letter presents an integrated magnetic field sensor that has been fabricated in a standard complementary metal‐oxide semiconductor process. Along with the sensor, on‐chip Circuitry has been realized to amplify the resulting Hall voltage signal. Furthermore, to increase device sensitivity, the sensor has been subjected to a post‐process etching step. The integrated sensor exhibits a ten times higher output signal compared with the output signal of the sensor alone.
J L Wyatt - One of the best experts on this subject based on the ideXlab platform.
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the mit vision chip project analog vlsi systems for fast image acquisition and early vision processing
International Conference on Robotics and Automation, 1991Co-Authors: J L Wyatt, D L Standley, W YangAbstract:The goal of the MIT Vision Chip Project is to design and build prototype analog early vision systems that are remarkably low-power, small, and fast. The typical system will perform one or more computation-intensive image-processing tasks at hundreds to thousands of frames per second using only tens to hundreds of milliwatts. The entire system with lens, imager, power supply and Support Circuitry can fit inside a cigar box. The authors briefly outline the overall project and describe two tested chips in some detail. Particular attention is given to a fast imager and processor chip for object position and orientation, and to an integrated ccd (charge-coupled device) imager and processors for edge detection. >
Makarand Paranjape - One of the best experts on this subject based on the ideXlab platform.
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integrated micromachined magnetic field sensor with on chip Support Circuitry
Applied Physics Letters, 1994Co-Authors: Makarand Paranjape, I M Filanovsky, Lj RisticAbstract:This letter presents an integrated magnetic field sensor that has been fabricated in a standard complementary metal‐oxide semiconductor process. Along with the sensor, on‐chip Circuitry has been realized to amplify the resulting Hall voltage signal. Furthermore, to increase device sensitivity, the sensor has been subjected to a post‐process etching step. The integrated sensor exhibits a ten times higher output signal compared with the output signal of the sensor alone.
Qh M Meng - One of the best experts on this subject based on the ideXlab platform.
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a novel positioning and orientation system based on three axis magnetic coils
IEEE Transactions on Magnetics, 2012Co-Authors: Chao Hu, Shuang Song, Xiaojing Wang, Qh M Meng, Baopu LiAbstract:The positioning and orientation system consists of three-axis generating coils and three-axis sensor coils in quasi-static magnetic field. The three-axis generating coils are fixed orthogonally and excited by the alternating current (AC) signals with different frequencies. They create the magnetic field that is equivalent to that generated by three orthogonal magnetic dipoles. Using the amplitude and phase information of the sensing signals in the sensor coils, the position and orientation parameters of the sensor coils can be computed by using an appropriate algorithm. In this paper, a novel algorithm is proposed to determine the position of the sensor coil object by some equations directly, so that its position and orientation parameters can be calculated much easier and faster. Based on this method, a system with Support Circuitry is designed with some special signal acquisition and sampling methods. Especially, a signal extraction (function fitting) method is proposed to pick up the coupling AC signal magnitude of the sensor coils, which simplifies the hardware Circuitry and improves the signal acquisition accuracy. The simulation and real experimental results show that the system works satisfactorily with good accuracy.
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a novel positioning and orientation system based on three axis magnetic coils
IEEE Transactions on Magnetics, 2012Co-Authors: Shuang Song, Xiaojing Wang, Qh M MengAbstract:The positioning and orientation system consists of three-axis generating coils and three-axis sensor coils in quasi-static magnetic field. The three-axis generating coils are fixed orthogonally and excited by the alternating current (AC) signals with different frequencies. They create the magnetic field that is equivalent to that generated by three orthogonal magnetic dipoles. Using the amplitude and phase information of the sensing signals in the sensor coils, the position and orientation parameters of the sensor coils can be computed by using an appropriate algorithm. In this paper, a novel algorithm is proposed to determine the position of the sensor coil object by some equations directly, so that its position and orientation parameters can be calculated much easier and faster. Based on this method, a system with Support Circuitry is designed with some special signal acquisition and sampling methods. Especially, a signal extraction (function fitting) method is proposed to pick up the coupling AC signal magnitude of the sensor coils, which simplifies the hardware Circuitry and improves the signal acquisition accuracy. The simulation and real experimental results show that the system works satisfactorily with good accuracy.