Abstract
Due to the rising number of car accidents involving drowsy or distracted drivers, it is essential to develop a system to detect these drivers’ behaviors. Multiple strategies were proposed and evaluated to determine whether the driver is in those driving states. Based on data collected from a surveillance camera and onboard diagnosis system, our research group has developed a method and system to recognize those abnormal behaviors and alert the driver to focus on driving. An onboard computer is used to evaluate the potential of the application system in an actual driving situation. The result shows that the system could operate effectively.
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Acknowledgments
The research group would like to give special thanks to the colleges in the Group of Automotive Engineering (Hanoi University of Science and Technology) who supported and gave us a lot of recommendations during the process of research.
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Pham, TD. et al. (2023). Develop an Advanced Driver’s Behaviors Detection System. In: Nguyen, D.C., Vu, N.P., Long, B.T., Puta, H., Sattler, KU. (eds) Advances in Engineering Research and Application. ICERA 2022. Lecture Notes in Networks and Systems, vol 602. Springer, Cham. https://doi.org/10.1007/978-3-031-22200-9_43
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DOI: https://doi.org/10.1007/978-3-031-22200-9_43
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