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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 (Autor:in) / Cigánek Ján (Autor:in) / Kozáková Alena (Autor:in) / Kučera Erik (Autor:in) / Haffner Oto (Autor:in)
2024
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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