A Hierarchical Model for Embedded Real-time Stereo Imaging

被引：1

作者：

He, Wenjing ^{[1
]}

Hu, Jian ^{[1
]}

Zhou, Chuncheng ^{[1
]}

Li, Chuanrong ^{[1
]}

Li, Wei ^{[1
]}

Han, Yalan ^{[1
]}

机构：

[1] Chinese Acad Sci, Key Lab Quantitat Remote Sensing Informat Technol, Acad Optoelect, Beijing 100094, Peoples R China

来源：

HIGH-PERFORMANCE COMPUTING IN GEOSCIENCE AND REMOTE SENSING VIII | 2018年 / 10792卷

基金：

国家高技术研究发展计划(863计划);

关键词：

stereo imaging; real-time; hierarchical model; embedded system;

D O I：

10.1117/12.2500718

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

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 two-stage 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.

引用

页数：6

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