A hierarchical model for embedded real-time stereo imaging

Wenjing He; Jian Hu; Chuncheng Zhou; Chuanrong Li; Wei Li; Yalan Han

doi:10.1117/12.2500718

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9 October 2018 A hierarchical model for embedded real-time stereo imaging

Wenjing He, Jian Hu, Chuncheng Zhou, Chuanrong Li, Wei Li, Yalan Han

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Proceedings Volume 10792, High-Performance Computing in Geoscience and Remote Sensing VIII; 1079209 (2018) https://doi.org/10.1117/12.2500718
Event: SPIE Remote Sensing, 2018, Berlin, Germany

Abstract

The special features of Stereo Imaging for LiDAR and hyperspectral sensor are multi-source data and complex algorithm, which will bring huge challenges to embedded real-time processing. To improve system performance, efficient software design is important. In this paper, based on the hardware platform with FPGA+2C6678, a hierarchical parallel model for software design is studied. In intermediate layer, an adaptive dynamic scheduling strategy and a twostage pipeline parallel architecture based on message transmission are presented, which provide efficient connection between the top application design and the bottom hardware environment. The results indicate that this model is strongly supportive for the high-performance of embedded system, and is beneficial for the open and universal design.

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Wenjing He, Jian Hu, Chuncheng Zhou, Chuanrong Li, Wei Li, and Yalan Han "A hierarchical model for embedded real-time stereo imaging", Proc. SPIE 10792, High-Performance Computing in Geoscience and Remote Sensing VIII, 1079209 (9 October 2018); https://doi.org/10.1117/12.2500718

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