A platform for research: civil engineering, architecture and urbanism
A Low-Cost Vehicle Assistance System for Detection of Critical Driving Situations
The paper presents a low-cost driver fatigue detection camera system for older car models that do not have built-in fatigue detection systems. Based on a review of current solutions and image processing methods for face and eye detection, the Viola-Jones method for face detection and the cascade regression for eye detection were selected to enable real-time detection via smartphones and avoid the high cost of traditional systems. The proposed system has been successfully tested with real-time video under laboratory conditions.
A Low-Cost Vehicle Assistance System for Detection of Critical Driving Situations
The paper presents a low-cost driver fatigue detection camera system for older car models that do not have built-in fatigue detection systems. Based on a review of current solutions and image processing methods for face and eye detection, the Viola-Jones method for face detection and the cascade regression for eye detection were selected to enable real-time detection via smartphones and avoid the high cost of traditional systems. The proposed system has been successfully tested with real-time video under laboratory conditions.
A Low-Cost Vehicle Assistance System for Detection of Critical Driving Situations
Hlavatý Michal (author) / Cigánek Ján (author) / Kozáková Alena (author) / Kučera Erik (author) / Haffner Oto (author)
2024
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0