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9 October 2018 A hierarchical model for embedded real-time stereo imaging
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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.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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