A Hybrid Method for Road Marking Detection
Yazarlar (3)
A. Mazouzi École Nationale Supérieure Des Télécommunications Et Des Technologies De L'ınformation Et De La Comm, Cezayir
S. Reguieg Yssaad Université D'oran 2, Cezayir
Prof. Dr. İsmail Rakıp KARAŞ Karabük Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SCOPUS dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | International Review of Automatic Control | ||
| Dergi ISSN | 1974-6059 Dergi Bilgileri (2022) | ||
| Dergi Tarandığı Indeksler | Scopus, E/I Compendex | ||
| Makale Dili | Türkçe | Basım Tarihi | 01-2022 |
| Cilt / Sayı / Sayfa | 15 / 1 / 38–43 | DOI | 10.15866/ireaco.v15i1.21708 |
| Makale Linki | http://dx.doi.org/10.15866/ireaco.v15i1.21708 | ||
| UAK Araştırma Alanları |
Bilgi Sistemleri
Yapay Zeka
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| Özet |
| Very recently, the problems posed in the context of road safety have taken off with the growing number of accidents on the roads. These accidents result in property damage and death in several cases. Nowadays, it is no longer a question of settling for a simple conventional and ordinary road safety, but an automatic road safety is widely desired. This study fits precisely into this context and proposes, first and in terms of computer vision, a combination of two types of approaches, which are by appearance and structural. Indeed the appearance approach is presented by the statistical classifier, while the structural one is given by the set of the following methods: the detection of the segments using the algorithm of the semi local analysis, the combined Kalman filter with predictor to estimate the road line, and the layout adjustment by applying the principle of Minimum Mean Square Error (MMSE). This method is tested on … |
| Anahtar Kelimeler |
| Appearance Approach | Computer Vision | Detection | Road Marking | Road Safety | Structural Approach |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Scopus | 3 |
| Google Scholar | 2 |