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