Toward Better Driving with Gaze Awareness Environment Supported by Area Segmentation

Toward Better Driving with Gaze Awareness Environment Supported by Area Segmentation

It is important to make car-drivers improve their way of looking for recognizing key objects or areas precisely. This study designs a system following such a motivation that distinguishes several areas in a display with weights of importance. A present proposing function for successful area detectio...

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Veröffentlicht in:International Association for Development of the Information Society 2022
Hauptverfasser: Yamada, Taketo, Matsuura, Kenji, Takeuchi, Hironori, Kashihara, Akihiro, Yamasaki, Kenichi, Kurita, Genta
Format: Report
Sprache:eng
Schlagworte:
Artificial Intelligence
Comparative Analysis
Computer Simulation
Eye Movements
Feedback (Response)
Instructional Effectiveness
Learning Management Systems
Motor Vehicles
Skill Development
Specialists
Teaching Methods
Traffic Safety
Video Technology
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Beschreibung
Zusammenfassung:It is important to make car-drivers improve their way of looking for recognizing key objects or areas precisely. This study designs a system following such a motivation that distinguishes several areas in a display with weights of importance. A present proposing function for successful area detection offers drivers an opportunity to compare their gaze with experts. Concrete method for this implementation includes U-Net that is one of major techniques of machine learning combined with grid segmentation.