Live Demonstration: A High-frame-rate and Energy-efficient SIFT Feature Extraction Accelerator Based SoC Design for AMR Applications

被引：0

作者：

Duan, Zhenhui ^{[2
]}

Liu, Bingqiang ^{[1
]}

Yin, Zehua ^{[1
]}

Wang, Jipeng ^{[1
]}

Shen, Zixuan ^{[1
]}

Zhang, Xupeng ^{[1
]}

He, Zaisheng ^{[3
]}

Wang, Chao ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Sch Opt & Elect Informat, Wuhan, Peoples R China

[2] Huazhong Univ Sci & Technol, Sch Integrated Circuit, Wuhan, Peoples R China

[3] Amicro Semicond Co Ltd, Zhuhai, Peoples R China

来源：

2024 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, ISCAS 2024 | 2024年

关键词：

D O I：

10.1109/ISCAS58744.2024.10558161

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This demonstration presents a high-frame-rate and energy-efficient Scale-Invariant Feature Transform (SIFT) feature extraction accelerator based System on Chip (SoC) design. The platform implementing SIFT-based object recognition consists of an OV5640 camera, a SIFT hardware accelerator based on the ZYNQ-7000 SoC, and a personal computer (PC). The feature points and recognition results are displayed on the monitor in real-time at 60 frames per second (fps) with QVGA resolution for Autonomous Mobile Robot (AMR) applications.

引用

页数：1

共 4 条

[1] An Energy-Efficient SIFT Based Feature Extraction Accelerator for High Frame-Rate Video Applications
Liu, Bingqiang
Yin, Zehua
Zhang, Xvpeng
Zhan, Yi
Hu, Xiaofeng
Yu, Guoyi
Zheng, Yuanjin
Wang, Chao
Zou, Xuecheng
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2022, 69 (12) : 4930 - 4943
[2] Live Demonstration: A Reconfigurable, Energy efficient and High-frame-rate EKF-SLAM Accelerator Based SoC Design for Autonomous Mobile Robot Applications
Jiang, Dingcheng
Liu, Bingqiang
Wang, Jipeng
Hu, Ao
Zhao, Yequan
Bao, Minjie
Fan, Zhendong
Shen, Zixuan
Wang, Ke
Wang, Chao
2024 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, ISCAS 2024, 2024,
[3] CUDA offloading for energy-efficient and high-frame-rate simulations using tablets
Martinez-Noriega, Edgar Josafat
Yazaki, Syunji
Narumi, Tetsu
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2021, 33 (02):
[4] A Novel 2T2R CR-based TCAM Design for High-speed and Energy-efficient Applications
Pan, Kangqiang
Tosson, Amr M. S.
Wang, Ningxuan
Zhou, Norman Y.
Wei, Lan
PROCEEDINGS OF THE 32ND GREAT LAKES SYMPOSIUM ON VLSI 2022, GLSVLSI 2022, 2022, : 33 - 38

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