An embedded all-time blind spot warning system

Bing-Fei Wu*, Chao Jung Chen, Yen Feng Li, Cheng Yen Yang, Hai Chang Chien, Chia Wei Chang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Blind spot warning (BSW) systems play an important role in advanced driving assistance systems (ADAS). Crashes are frequently happened when drivers change their host lanes without taking notice of the vehicles in the blind spot area. In this paper, a BSW system is developed and has been real road verified with CCD/CMOS cameras. The proposed algorithm is robust to adapt different weather conditions in day and night, including sunny, cloudy and rainy. It has been implemented on our self-designed DSP system with a 600M Hz core processor. It deserves to be mentioned that the bilateral BSW function is completed on one DSP system and it processes more than 20 frames per second in CIF image format. The average detection ratio achieves 95.09%. In the future, this system will be integrated with lane departure warning systems, previous vehicle warning systems and parking assistance systems to be the omni-directional ADAS.

Original languageEnglish
Title of host publicationAdvances in Neural Network Research and Applications
Pages679-685
Number of pages7
DOIs
StatePublished - 1 Dec 2010
Event7th International Symposium on Neural Networks, ISNN 2010 - Shanghai, China
Duration: 6 Jun 20109 Jun 2010

Publication series

NameLecture Notes in Electrical Engineering
Volume67 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference7th International Symposium on Neural Networks, ISNN 2010
CountryChina
CityShanghai
Period6/06/109/06/10

Keywords

  • Blind spot
  • Driving assistance
  • Warning system

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