Abstract:
In this paper, we propose an efficient and real-time stereo matching hardware architecture for a high resolution image. Disparity estimation algorithm must be operated at...Show MoreMetadata
Abstract:
In this paper, we propose an efficient and real-time stereo matching hardware architecture for a high resolution image. Disparity estimation algorithm must be operated at a real-time to be of practical use for applications such as an autonomous driving. However, they generally require large computational efforts and high memory capacities in the embedded processor-based systems. To solve this problem, we studied the real-time stereo matching hardware architecture and implemented in hardware system. Our architecture was implemented using Verilog HDL. Our circuit uses 95% LUT, 92% FF and 80% BRAM of Zynq XC7Z020 FPGA. Also, our hardware circuit can generate the depth data for the high-resolution images which receive from cameras without delays in the real time.
Published in: 2016 International SoC Design Conference (ISOCC)
Date of Conference: 23-26 October 2016
Date Added to IEEE Xplore: 29 December 2016
ISBN Information: