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

Abstract

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
DOIs
Publication statusPublished - 2019 Apr 1
Event89th IEEE Vehicular Technology Conference, VTC Spring 2019 - Kuala Lumpur, Malaysia
Duration: 2019 Apr 282019 May 1

Publication series

NameIEEE Vehicular Technology Conference
Volume2019-April
ISSN (Print)1550-2252

Conference

Conference89th IEEE Vehicular Technology Conference, VTC Spring 2019
CountryMalaysia
CityKuala Lumpur
Period19-04-2819-05-01

Fingerprint

Lane Detection
Driver Assistance
Stereo vision
Stereo Vision
Power Consumption
Camera
Cameras
Vehicle Detection
Real-time
Distance Measurement
Computing
Line
Electric power utilization
Region of Interest
Embedded Systems
Programming Languages
Distance measurement
Embedded systems
Computer programming languages
Libraries

All Science Journal Classification (ASJC) codes

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

Cite this

Sie, Y. D., Tsai, Y. C., Lee, W-H., Chou, C. M., & Chiu, C. Y. (2019). Real-time driver assistance systems via dual camera stereo vision. In 2019 IEEE 89th Vehicular Technology Conference, VTC Spring 2019 - Proceedings [8746289] (IEEE Vehicular Technology Conference; Vol. 2019-April). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCSpring.2019.8746289
Sie, Yong Da ; Tsai, Yi Cheng ; Lee, Wei-Hsun ; Chou, Chien Ming ; Chiu, Chi Yi. / Real-time driver assistance systems via dual camera stereo vision. 2019 IEEE 89th Vehicular Technology Conference, VTC Spring 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. (IEEE Vehicular Technology Conference).
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Sie, YD, Tsai, YC, Lee, W-H, Chou, CM & Chiu, CY 2019, Real-time driver assistance systems via dual camera stereo vision. in 2019 IEEE 89th Vehicular Technology Conference, VTC Spring 2019 - Proceedings., 8746289, IEEE Vehicular Technology Conference, vol. 2019-April, Institute of Electrical and Electronics Engineers Inc., 89th IEEE Vehicular Technology Conference, VTC Spring 2019, Kuala Lumpur, Malaysia, 19-04-28. https://doi.org/10.1109/VTCSpring.2019.8746289

Real-time driver assistance systems via dual camera stereo vision. / Sie, Yong Da; Tsai, Yi Cheng; Lee, Wei-Hsun; Chou, Chien Ming; Chiu, Chi Yi.

2019 IEEE 89th Vehicular Technology Conference, VTC Spring 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8746289 (IEEE Vehicular Technology Conference; Vol. 2019-April).

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

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Sie YD, Tsai YC, Lee W-H, Chou CM, Chiu CY. Real-time driver assistance systems via dual camera stereo vision. In 2019 IEEE 89th Vehicular Technology Conference, VTC Spring 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8746289. (IEEE Vehicular Technology Conference). https://doi.org/10.1109/VTCSpring.2019.8746289