An embedded multi-core parallel model for real-time stereo imaging

Wenjing He; Jian Hu; Jingyu Niu; Chuanrong Li; Guangyu Liu

doi:10.1117/12.2304685

10 April 2018 An embedded multi-core parallel model for real-time stereo imaging

Wenjing He, Jian Hu, Jingyu Niu, Chuanrong Li, Guangyu Liu

Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106153G (2018) https://doi.org/10.1117/12.2304685
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China

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.

Citation Download Citation

Wenjing He, Jian Hu, Jingyu Niu, Chuanrong Li, and Guangyu Liu "An embedded multi-core parallel model for real-time stereo imaging", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106153G (10 April 2018); https://doi.org/10.1117/12.2304685

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