Trafik Işığı Tespiti Yapan Bir Sürücü Güvenlik Destek Sistemi

Sürücü güvenlik destek sistemleri (SGDS) sayesinde trafik kazası sayıları azaltılabilmektedir. Bu çalışmada, trafik ışıklarını bularak sürücüyü uyaran bir sürücü güvenlik destek sistemi önerilmiştir. Önerilen SGDS sadece görsel bilgilerle çalışmakta ve trafik ışığı tespiti yapmaktadır. Sistem ilk olarak alınan imgeleri gri ölçekli imgelere dönüştürerek Otsu kriterine göre çok seviyeli eşiklemeye tabi tutmaktadır. Eşiklenmiş olan imgeler için sırasıyla bağlı bileşen analizi ve parça analizi yapılarak trafik ışığı olabilecek ilgi duyulan bölgeler bulunmaktadır. Bulunan bu bölgelerden renk bilgisini de içeren özellik vektörleri çıkartılmaktadır. Son olarak, Destek Vektör Makinesi (DVM) ile ilgi duyulan bölgelerin trafik ışığı olup olmadığına karar verilmektedir. Önerilen SGDS’nin başarımı şehir ortamından elde edilmiş imgeler üzerinde incelenmiştir.

Anahtar Kelimeler:

DVM, çok seviyeli eşikleme, pso, trafik ışığı

A Driver Safety Support System Which Detects Traffic Lights

The number of traffic accidents can be decreased through driver safety support systems (DSSS). In this study, a driver safety support system is proposed in which the driver is warned by finding traffic lights. The proposed DSSS works on only visual information and detects traffic lights. The system primarily transforms the received images into gray scale images and subject them to multi-level thresholding with Otsu criteria. The regions of interest which can be traffic lights are found for the thresholded images by using connected component analysis and blob analysis, respectively. Feature vectors including the color information are extracted from the founded regions. Finally, it is decided if the regions of interest are traffic lights by using support vector machines (SVM). The performance of the proposed DSSS is examined on the images obtained from urban areas.

Keywords:

SVM, multi-level thresholding, pso, traffic light,

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