@inproceedings{7a473386e3d24897aaeee5a2f65b72c0,
title = "Automated Optimization for FPGA-Based Sonar Object Recognition Systems",
abstract = "The sonar system has been widely adopted in underwater environment exploration. The system generally needs to first reconstruct sonar images and then perform object recognition of sonar images. Current designs often focus on either sonar image reconstruction, or object recognition separately, lacking an integrated approach. The changing conditions and diverse tasks have necessitated rapid trade-offs among enormous design factors to attain short processing latency and low power consumption. In this paper, we proposes an automated methodology to effectively explore the design space and optimize the sonar system. The generated design is synthesized on FPGAs. Our experiments have shown that the proposed design achieves 3.24 x performance improvement over manual designs.",
keywords = "FPGA, USV, low latency, software & hardware co-design, underwater ultrasound detection",
author = "Tung, {Pin Hao} and Jeng, {Geng Shi} and Lai, {Bo Cheng} and Hung, {Yu Xiang}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 20th IEEE Asia Pacific Conference on Circuits and Systems and IEEE Asia Pacific Conference on Postgraduate Research in Microelectronics Electronics, APCCAS and PrimeAsia 2024 ; Conference date: 07-11-2024 Through 09-11-2024",
year = "2024",
doi = "10.1109/APCCAS62602.2024.10808639",
language = "English",
series = "APCCAS and PrimeAsia 2024 - 2024 IEEE 20th Asia Pacific Conference on Circuits and Systems and IEEE Asia Pacific Conference on Postgraduate Research in Microelectronics Electronics, Proceeding",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "349--353",
booktitle = "APCCAS and PrimeAsia 2024 - 2024 IEEE 20th Asia Pacific Conference on Circuits and Systems and IEEE Asia Pacific Conference on Postgraduate Research in Microelectronics Electronics, Proceeding",
address = "美國",
}