High-performance image acquisition &amp; processing unit fabricated using COTS technologies

Kimura, Shinichi; Miyasaka, Akira; Funase, Ryu; Sawada, Hirotaka; Sakamoto, Nobuomi; Miyashita, Naoki

doi:10.1109/maes.2011.5746181

Cited by 8 publications

(6 citation statements)

References 3 publications

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“…The term image processing unit (IPU) lacks a formal definition in computer vision (CV) literature. It has been used only in a generic sense to describe components carrying out image processing tasks: a camera developed for spacecrafts [1], image compression [2], or a multimedia processor accelerating image transformations in hardware [3].…”

Section: Introductionmentioning

confidence: 99%

“…Luckily, modern SBCs are composed of not only a CPU, but also many auxiliary multimedia processors, including a graphics processing unit (GPU). As a result, selected GPGPU techniques could be used to offload certain kinds 1 http://www.raspberrypi.org/ of computation onto a GPU -in much the same way as CV applications are optimised to run on mobile devices [8] considerably improving the image processing performance of SBCs.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Image Processing Units on Ultra-low-cost Embedded Hardware: Algorithmic Optimizations for Real-time Performance

Nair¹,

Somani²,

Grunau

et al. 2017

J Sign Process Syst

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The design and development of image processing units (IPUs) has traditionally involved trade-offs between cost, real-time properties, portability, and ease of programming. A standard PC can be turned into an IPU relatively easily with the help of readily available computer vision libraries, but the end result will not be portable, and may be costly. Similarly, one can use field programmable gate arrays (FPGAs) as the base for an IPU, but they are expensive and require hardware-level programming. Finally, general purpose embedded hardware tends to be under-powered and difficult to develop for due to poor support for running advanced software. In recent years a new option has surfaced: single-board computers (SBCs). These generally inexpensive embedded devices would be attractive as a platform on which to develop IPUs due to their inherent portability and good compatibility with existing computer vision (CV) software. However, whether their performance is sufficient for real-time image processing has thus far remained an open question. Most SBCs (especially the ultra-low-cost ones which we target) do not offer CUDA/OpenCL support which makes it difficult to port GPU-based CV applications. In order to utilize the full power of the SBCs, their GPUs need to be used. In our attempts at doing this, we have observed that the CV algorithms which an IPU uses have to be re-designed according to the OpenGL support available Suraj Nair

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Image Processing Units on Ultra-low-cost Embedded Hardware: Algorithmic Optimizations for Real-time Performance

Nair¹,

Somani²,

Grunau

et al. 2017

J Sign Process Syst

View full text Add to dashboard Cite

show abstract

“…Additionally, the resources are mostly used for processing critical calculations to check the satellite health or provide fundamental control of the satellite for its survival. On the other hand, onboard equipment including a computer, must be sustainable in a high-radiation space environment [6]- [8]. Therefore, lowperformance, one-chip microcomputers, such as the PIC and H8, tend to be adopted as the on-board computers for small satellites.…”

Section: Introductionmentioning

confidence: 99%

Development of High-Performance Compact On-Board Computer for Micro/Nano-Satellites with Software Resource Sharing Framework

Narumi

Takano

Kimura

2017

SICE Journal of Control, Measurement, and System Integration

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: Due to advances in mission complexity and increased requirements for autonomous control of small satellites, high-level computing performance of on-board computers, as well as the necessary software implementation to maintain essential functionality, is more frequently required for small satellites. To satisfy these requirements, we developed a high-performance and compact on-board computer for micro and nano-satellites using commercial off-the-shelf (COTS) components including a structure to increase the reliability by sharing software to enhance reusability. The capability of small satellites can be dramatically improved by having common standards for high computing performance and a lowcost platform for the on-board computers. Additionally, the mission potential of small satellites can then be expanded. When the same platform is utilized recursively, the reliability of the platform will increase through repeated verification. In this paper, we describe the concept of a high-performance, low-cost on-board computer system using COTS devices, the sharing of software resources, and a practical on-orbit evaluation of the system.

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“…Furthermore, for remote sensing using a camera, the calculators need to have a high capacity to measure a specified point on a complicated schedule. [3][4][5][6] On the other hand, because it is difficult to repair a satellite in orbit, the on-board computers should be highly reliable. In particular, they should be designed for high performance, in terms of not only hardware but also software.…”

Section: Introductionmentioning

confidence: 99%

Software Development Framework for Small Satellite On-board Computers

Kobayashi

Takisawa

Nakasuka

et al. 2014

AEROSPACE TECHNOLOGY JAPAN

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As the missions and functions of satellites differ, on-board computers used in small satellites are frequently developed individually at the relevant organizations. Although the satellite missions may differ, their complicated software may consist of common functional elements when the software structure is segregated into its functional elements, such as the equipment interfaces, ground communications, and attitude estimation. By recursively using a common software platform for many different satellites, we can expect an improvement in reliability through the mutual utilization of the platform and an increase in productivity from its inter-utilization. Therefore, we have developed a software development framework for the on-board computers used in small satellites. We created this software development framework through the following procedure. First, the basic composition of the on-board software was modularized for each function. The modularized components were then converted into class structures by extracting the similarity of each module. Using class structures, the software can be developed with a reduced amount of coding, and new software modules can be generated easily by simply modifying the code. In addition, the proposed software development framework was created for portability, allowing it to operate on many on-board computers. In this paper, the basic concept of the software development framework and its application to small satellites are described.

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High-performance image acquisition & processing unit fabricated using COTS technologies

Cited by 8 publications

References 3 publications

Image Processing Units on Ultra-low-cost Embedded Hardware: Algorithmic Optimizations for Real-time Performance

Image Processing Units on Ultra-low-cost Embedded Hardware: Algorithmic Optimizations for Real-time Performance

Development of High-Performance Compact On-Board Computer for Micro/Nano-Satellites with Software Resource Sharing Framework

Software Development Framework for Small Satellite On-board Computers

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