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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


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.

Original languageEnglish
Title of host publication2019 IEEE 89th Vehicular Technology Conference, VTC Spring 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728112176
Publication statusPublished - 2019 Apr
Event89th IEEE Vehicular Technology Conference, VTC Spring 2019 - Kuala Lumpur, Malaysia
Duration: 2019 Apr 282019 May 1

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252


Conference89th IEEE Vehicular Technology Conference, VTC Spring 2019
CityKuala Lumpur

All Science Journal Classification (ASJC) codes

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


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