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Vision System Implementation Based On Smart Retina

机译:基于智能视网膜的视觉系统实现

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This paper discusses the architecture and implementation of a Smart Integrated Retina based vision system dedicated for intelligent vehicles applications. The Retina is a circuit that combines image acquisition and analog processing elements allowing the achievement of realtime image processing with high efficiency in terms of speed and power consumption. In the current version, an external processor is used to control the dataflow image processing. This will enable us to evaluate the performance needed and the implementation of such a processor in the same integrated circuit. This architecture will exploit in an optimal way the capabilities of the retina. The approach is compared with state-of-the-art vision chips build using digital SIMD arrays and vision systems using CMOS sensors combined with FPGA technology. As a test bench, an advanced algorithm for an exposure time calibration is presented with experimental results.
机译:本文讨论了专用于智能车辆应用的智能集成视网膜系统的架构和实现。视网膜是组合图像采集和模拟处理元件的电路,允许在速度和功耗方面以高效率实现实时图像处理。在当前版本中,外部处理器用于控制数据流映像处理。这将使我们能够评估所需的性能和在相同的集成电路中实现这种处理器的实现。此架构将以最佳方式利用视网膜的功能。使用CMOS传感器与FPGA技术相结合的数字SIMD阵列和视觉系统,将该方法与最先进的视觉芯片进行比较。作为测试台,具有实验结果提出了一种曝光时间校准的先进算法。

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