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Proceedings Paper

An embedded multi-core parallel model for real-time stereo imaging
Author(s): Wenjing He; Jian Hu; Jingyu Niu; Chuanrong Li; Guangyu Liu
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Paper Abstract

The real-time processing based on embedded system will enhance the application capability of stereo imaging for LiDAR and hyperspectral sensor. The task partitioning and scheduling strategies for embedded multiprocessor system starts relatively late, compared with that for PC computer. In this paper, aimed at embedded multi-core processing platform, a parallel model for stereo imaging is studied and verified. After analyzing the computing amount, throughout capacity and buffering requirements, a two-stage pipeline parallel model based on message transmission is established. This model can be applied to fast stereo imaging for airborne sensors with various characteristics. To demonstrate the feasibility and effectiveness of the parallel model, a parallel software was designed using test flight data, based on the 8-core DSP processor TMS320C6678. The results indicate that the design performed well in workload distribution and had a speed-up ratio up to 6.4.

Paper Details

Date Published: 10 April 2018
PDF: 6 pages
Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106153G (10 April 2018); doi: 10.1117/12.2304685
Show Author Affiliations
Wenjing He, Academy of Opto-Electronics, Chinese Academy of Sciences (China)
Jian Hu, Academy of Opto-Electronics, Chinese Academy of Sciences (China)
Jingyu Niu, Academy of Opto-Electronics, Chinese Academy of Sciences (China)
Univ. of Chinese Academy of Sciences (China)
Chuanrong Li, Academy of Opto-Electronics, Chinese Academy of Sciences (China)
Guangyu Liu, Academy of Opto-Electronics, Chinese Academy of Sciences (China)


Published in SPIE Proceedings Vol. 10615:
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
Hui Yu; Junyu Dong, Editor(s)

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