A vision-based driver nighttime assistance and surveillance system based on intelligent image sensing techniques and a heterogamous dual-core embedded system architecture

Yen Lin Chen, Hsin Han Chiang, Chuan Yen Chiang, Chuan Ming Liu, Shyan-Ming Yuan, Jenq Haur Wang*

*Corresponding author for this work

Research output: Contribution to journalArticle

25 Scopus citations

Abstract

This study proposes a vision-based intelligent nighttime driver assistance and surveillance system (VIDASS system) implemented by a set of embedded software components and modules, and integrates these modules to accomplish a component-based system framework on an embedded heterogamous dual-core platform. Therefore, this study develops and implements computer vision and sensing techniques of nighttime vehicle detection, collision warning determination, and traffic event recording. The proposed system processes the road-scene frames in front of the host car captured from CCD sensors mounted on the host vehicle. These vision-based sensing and processing technologies are integrated and implemented on an ARM-DSP heterogamous dual-core embedded platform. Peripheral devices, including image grabbing devices, communication modules, and other in-vehicle control devices, are also integrated to form an in-vehicle-embedded vision-based nighttime driver assistance and surveillance system.

Original languageEnglish
Pages (from-to)2373-2399
Number of pages27
JournalSensors
Volume12
Issue number3
DOIs
StatePublished - 1 Mar 2012

Keywords

  • CCD sensors
  • Computer vision techniques
  • Driver assistance systems
  • Embedded systems
  • Heterogeneous multi-core systems
  • Nighttime driving

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