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

*此作品的通信作者

研究成果: Conference contribution同行評審

3 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題Advances in Neural Network Research and Applications
頁面679-685
頁數7
DOIs
出版狀態Published - 1 12月 2010
事件7th International Symposium on Neural Networks, ISNN 2010 - Shanghai, China
持續時間: 6 6月 20109 6月 2010

出版系列

名字Lecture Notes in Electrical Engineering
67 LNEE
ISSN(列印)1876-1100
ISSN(電子)1876-1119

Conference

Conference7th International Symposium on Neural Networks, ISNN 2010
國家/地區China
城市Shanghai
期間6/06/109/06/10

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