FPGA-based acceleration of stereo matching using OpenCL
Author:
Affiliation:
1. National Research and Innovation Agency (BRIN), Indonesia
2. University of Tsukuba, Japan
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3575882.3575883
Reference21 articles.
1. Stereo vision based environment analysis and perception for autonomous driving applications
2. Hardware module for low-resource and real-time stereo vision engine using semi-global matching approach
3. 3D global mapping of large-scale unstructured orchard integrating eye-in-hand stereo vision and SLAM
4. Iman Firmansyah Changdao Du Norihisa Fujita Yoshiki Yamaguchi and Taisuke Boku. 2019. FPGA-based Implementation of Memory-Intensive Application using OpenCL. In Heart. Iman Firmansyah Changdao Du Norihisa Fujita Yoshiki Yamaguchi and Taisuke Boku. 2019. FPGA-based Implementation of Memory-Intensive Application using OpenCL. In Heart.
5. Iman Firmansyah and Yoshiki Yamaguchi . 2021 . FPGA-Based Implementation of the Stereo Matching Algorithm Using High-Level Synthesis. 2021 IEEE 14th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)(2021) , 1–7. Iman Firmansyah and Yoshiki Yamaguchi. 2021. FPGA-Based Implementation of the Stereo Matching Algorithm Using High-Level Synthesis. 2021 IEEE 14th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)(2021), 1–7.
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