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Workshop Session_KETI

Design of a Multi-Kernel Supported Stereo Vision Accelerator Using High Bandwidth Memory

초록

영어

Stereo vision is actively researched as a solution for distance measurement in autonomous driving. This technique involves triangulation-based distance calculation using left and right images acquired from two image sensors. A kernel window is employed to determine the disparity between these left and right images. To achieve optimal disparity in various environments, it is essential to support different kernel sizes. Moreover, there is a need for research to integrate high-throughput memory, such as high bandwidth memory (HBM), for processing real-time highresolution stereo vision images from sensors. In this paper, we propose a stereo vision accelerator structure utilizing HBM, which supports various kernel sizes.

목차

Abstract
I. INTRODUCTION
II. MULTI-KERNEL STEREO VISION ACCELERATOR
A. Left / Right Camera Controller
B. ZSSD Stereo Vision Accelerator
C. HBM Controller
III. EXPERIMENT
IV. CONCLUSION
ACKNOWLEDGMENT
REFERENCES

저자정보

  • Young-Jong Jang SoC Platform Research Center Korea Electronics Technology Institute
  • Byung-Soo Kim SoC Platform Research Center Korea Electronics Technology Institute

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