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 ]