Abstract
Many accidents are caused by declining of driving skills and the lack of attention by older drivers. This is because the number of older people has been increasing. This research focuses on these issues and builds a support system for drivers. In this paper, we present the enhanced dataset of an intelligent driving support system to detect distracted driving. Our system is based on YOLO and detects multiple distracted driving behaviors by considering the driver’s hand movements. From the evaluation results, we found that the system detects distracted driving behaviors with high accuracy.
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Miwata, M., Tsuneyoshi, M., Ikeda, M., Barolli, L. (2022). Performance Evaluation of an AI-Based Safety Driving Support System for Detecting Distracted Driving. In: Barolli, L. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing. IMIS 2022. Lecture Notes in Networks and Systems, vol 496. Springer, Cham. https://doi.org/10.1007/978-3-031-08819-3_2
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