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

  • 간행물
    한국차세대컴퓨팅학회 학술대회 바로가기
  • 권호(발행년)
    The 9th International Conference on Next Generation Computing 2023 (2023.12) 바로가기
  • 페이지
    pp.40-41
  • 저자
    Young-Jong Jang, Byung-Soo Kim
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A448113

원문정보

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

저자

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

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      한국차세대컴퓨팅학회 학술대회
    • 간기
      반년간
    • 수록기간
      2021~2025
    • 십진분류
      KDC 566 DDC 004