Vision-based solutions for driver assistance

• Autorzy: Nowosielski A.
• Języki publikacji: EN

Abstrakty

EN

The article presents a review on vision-based solutions for driver assistance. These solutions support the driver to keep safe travel conditions. They use diverse sensing modalities for the recognition of the environment around the vehicle. Upon detection a critical safety situation they supply the driver with the warning. Four assistance systems have been addressed: TSR - Traffic Sign Recognition, CAV - Collision Avoidance, LDW - Lane Departure Warning, and driver fatigue detection. Their structure and some existing approaches are presented. Furthermore, a solution for lane detection and another one for a driver fatigue detection are proposed in the article. They are prepared as the combination of existing image processing algorithms with the aim of presentation the ease of own limited solution creation. For the real-world and diverse working scenarios they would require a great deal of improvements.

Słowa kluczowe

EN

driver assistance; computer vision; TSR; Traffic Sign Recognition; CAV; Collision Avoidance; LDW; Lane Departure Warning; driver fatigue detection

• Wydawca: Komisja Informatyki Polskiej Akademii Nauk, Oddział w Gdańsku
• Czasopismo: Journal of Theoretical and Applied Computer Science
• Rocznik: 2014
• Tom: Vol. 8, nr 4
• Strony: 35--44
• Opis fizyczny: Bibliogr. 31 poz., fot.

Twórcy

autor

Nowosielski A.

• Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin, Poland

Bibliografia

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