An autonomous driving system utilizing image processing accelerated by FPGA

Kazunari Takasaki, Kota Hisafuru, Ryotaro Negishi, Kazuki Yamashita, Keisuke Fukada, Tomoya Wakaizumi, Nozomu Togawa

研究成果: Conference contribution

抄録

This paper presents an autonomous driving system utilizing FPGA-based image processing. We develop a robot that our system is implemented on Ultra96-V2, a board with programmable logic and processing system. We use ROS, a middleware framework for developing robots, to manage the system such as controlling hardware devices, localization and determination of the direction to go. We implement a neural network to detect road markings on the road on a programmable logic on the board. The robot with our system implemented drives autonomously along the specified route on a miniature road, recognizing edge line and road markings.

本文言語English
ホスト出版物のタイトル2021 International Conference on Field-Programmable Technology, ICFPT 2021
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781665420105
DOI
出版ステータスPublished - 2021
イベント20th International Conference on Field-Programmable Technology, ICFPT 2021 - Virtual, Auckland, New Zealand
継続期間: 2021 12月 62021 12月 10

出版物シリーズ

名前2021 International Conference on Field-Programmable Technology, ICFPT 2021

Conference

Conference20th International Conference on Field-Programmable Technology, ICFPT 2021
国/地域New Zealand
CityVirtual, Auckland
Period21/12/621/12/10

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識
  • ソフトウェア

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