Real-time driver assistance systems via dual camera stereo vision

Yong Da Sie, Yi Cheng Tsai, Wei Hsun Lee, Chien Ming Chou, Chi Yi Chiu

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

This paper presents the practical application for a real-time and image-based driver assistance system. Dual-camera stereo vision algorithm for the distance measurement for the detected vehicle and multi-line merge function for the lane detection are implemented via lab-made library and calibrated off-line. A lab-made library developed via programming language is written and compiled for low computing-power consumption and rapidly calculating for the real-time purpose. To save the computing power consumption, some proper region of interest of vehicle detection and lane detection are applied. Finally, this system has been preliminary implemented on a test vehicle and driven on various roads over tens of miles and reach around 4 5 frame per seconds via portable embedded system.

原文English
主出版物標題2019 IEEE 89th Vehicular Technology Conference, VTC Spring 2019 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728112176
DOIs
出版狀態Published - 2019 四月
事件89th IEEE Vehicular Technology Conference, VTC Spring 2019 - Kuala Lumpur, Malaysia
持續時間: 2019 四月 282019 五月 1

出版系列

名字IEEE Vehicular Technology Conference
2019-April
ISSN(列印)1550-2252

Conference

Conference89th IEEE Vehicular Technology Conference, VTC Spring 2019
國家Malaysia
城市Kuala Lumpur
期間19-04-2819-05-01

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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