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Proceedings Paper

A hierarchical model for embedded real-time stereo imaging
Author(s): Wenjing He; Jian Hu; Chuncheng Zhou; Chuanrong Li; Wei Li; Yalan Han
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Paper 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.

Paper Details

Date Published: 9 October 2018
PDF: 6 pages
Proc. SPIE 10792, High-Performance Computing in Geoscience and Remote Sensing VIII, 1079209 (9 October 2018); doi: 10.1117/12.2500718
Show Author Affiliations
Wenjing He, Academy of Opto-Electronics (China)
Jian Hu, Academy of Opto-Electronics (China)
Chuncheng Zhou, Academy of Opto-Electronics (China)
Chuanrong Li, Academy of Opto-Electronics (China)
Wei Li, Academy of Opto-Electronics (China)
Yalan Han, Academy of Opto-Electronics (China)


Published in SPIE Proceedings Vol. 10792:
High-Performance Computing in Geoscience and Remote Sensing VIII
Bormin Huang; Sebastián López; Zhensen Wu, Editor(s)

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