Design of High-Speed Parallel Data Interface Based on ARM &amp; FPGA

Zhang, Daode; Pan, Yurong; Hu, Xinyu

doi:10.4304/jcp.7.3.804-809

Cited by 10 publications

(7 citation statements)

References 1 publication

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“…Substituting equation (15) into equation (16), we obtain equation (17) which denotes the relationship between the angular velocity of pan-tilt head and the change of the feature points on the image plane 17) where the relationship between the velocity ð _ u; _ vÞ T of the feature points and the angular velocity of joints ð _ 1 ; _ 2 Þ T is established. J À1 system represents the inverse matrix of the system Jacobean matrix J system .…”

Section: Visual Servoing-based Object Trackingmentioning

confidence: 99%

“…However, the widely used image processing algorithms were designed for CPU device, to implement these algorithms on FPGA device is a challenging and time-consuming work. Different from the FPGA/DSP or FPGA/Advanced RISC Machine (ARM) hybrid systems 11,16 in the proposed system, FPGA and ARM core are putting together inside the ZYNQ device. Between the two processing cores, an Advanced Extensible Interface (AXI) bus can transfer data with a high band width and high frequency.…”

Section: Introductionmentioning

confidence: 99%

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Real-time object tracking system based on field-programmable gate array and convolution neural network

Lyu

Chen

Jiang

et al. 2016

International Journal of Advanced Robotic Systems

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Vision-based object tracking has lots of applications in robotics, like surveillance, navigation, motion capturing, and so on. However, the existing object tracking systems still suffer from the challenging problem of high computation consumption in the image processing algorithms. The problem can prevent current systems from being used in many robotic applications which have limitations of payload and power, for example, micro air vehicles. In these applications, the central processing unit-or graphics processing unit-based computers are not good choices due to the high weight and power consumption. To address the problem, this article proposed a real-time object tracking system based on fieldprogrammable gate array, convolution neural network, and visual servo technology. The time-consuming image processing algorithms, such as distortion correction, color space convertor, and Sobel edge, Harris corner features detector, and convolution neural network were redesigned using the programmable gates in field-programmable gate array. Based on the field-programmable gate array-based image processing, an image-based visual servo controller was designed to drive a two degree of freedom manipulator to track the target in real time. Finally, experiments on the proposed system were performed to illustrate the effectiveness of the real-time object tracking system.

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Section: Visual Servoing-based Object Trackingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Real-time object tracking system based on field-programmable gate array and convolution neural network

Lyu

Chen

Jiang

et al. 2016

International Journal of Advanced Robotic Systems

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“…Moreover, in this case the FPGAs work as distributed reconfigurable devices that permit the implementation of different functionalities everywhere using remote resources. Most of the contributions in the scientific world try to make the most of the FPGAs in order to reduce the transmission of data among the sensor nodes [ 57 , 58 ], to change dynamically the frequency [ 59 , 60 ] and to turn on the radio transceiver selectively [ 61 ]. This subsection describes the main approaches developed in Spain concerning the use of FPGAs in sensor networks, where it will be seen that they are related with the purposes above commented.…”

Section: Sensors Systems Based On Fpgasmentioning

confidence: 99%

A Survey on FPGA-Based Sensor Systems: Towards Intelligent and Reconfigurable Low-Power Sensors for Computer Vision, Control and Signal Processing

García

Jara

Pomares

et al. 2014

Sensors

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The current trend in the evolution of sensor systems seeks ways to provide more accuracy and resolution, while at the same time decreasing the size and power consumption. The use of Field Programmable Gate Arrays (FPGAs) provides specific reprogrammable hardware technology that can be properly exploited to obtain a reconfigurable sensor system. This adaptation capability enables the implementation of complex applications using the partial reconfigurability at a very low-power consumption. For highly demanding tasks FPGAs have been favored due to the high efficiency provided by their architectural flexibility (parallelism, on-chip memory, etc.), reconfigurability and superb performance in the development of algorithms. FPGAs have improved the performance of sensor systems and have triggered a clear increase in their use in new fields of application. A new generation of smarter, reconfigurable and lower power consumption sensors is being developed in Spain based on FPGAs. In this paper, a review of these developments is presented, describing as well the FPGA technologies employed by the different research groups and providing an overview of future research within this field.

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“…In order to facilitate the latter part of the data processing and analysis applications, it needs for high-speed data acquisition and storage. As the amount of data is very large, the current high-speed serial differential mode is usually used for transmission [1]. This can greatly reduce the mutual crosstalk between signals and external noise interference.…”

Section: Introductionmentioning

confidence: 99%

Application of High Speed Serial Data Transmission System in Remote Sensing Camera

Ye¹,

Qian-gmin²,

Pan³

2017

MATEC Web Conf.

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Abstract. In order to meet the system needs of miniaturization, real-time, high-speed data and high reliability transmission in remote sensing camera, a high-speed serial protocol based on high-speed serial/parallel converter SerDes is proposed. For the SerDes high-speed serial data transmission chip for the physical layer, FPGA for the link layer of the communication system, design high-speed serial transmission communication protocol. Through the development of a simplified protocol for the upper user to provide a simple data interface. The system completed the data rate of 12.5Gbps point to point high-speed transmission. Verification is done by sending a pseudo-random code between boards. System work 3 hours, the measured bit error rate is less than 10 -12 .

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Design of High-Speed Parallel Data Interface Based on ARM & FPGA

Cited by 10 publications

References 1 publication

Real-time object tracking system based on field-programmable gate array and convolution neural network

Real-time object tracking system based on field-programmable gate array and convolution neural network

A Survey on FPGA-Based Sensor Systems: Towards Intelligent and Reconfigurable Low-Power Sensors for Computer Vision, Control and Signal Processing

Application of High Speed Serial Data Transmission System in Remote Sensing Camera

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