Abstract
Car accidents are one of the top ten causes of death and are produced mainly by driver distractions. ADAS (Advanced Driver Assistance Systems) can warn the driver of dangerous scenarios, improving road safety, and reducing the number of traffic accidents. However, having a system that is continuously sounding alarms can be overwhelming or confusing or both, and can be counterproductive. Using the driver’s attention to build an efficient ADAS is the main contribution of this work. To obtain this “attention value” the use of a Gaze tracking is proposed. Driver’s gaze direction is a crucial factor in understanding fatal distractions, as well as discerning when it is necessary to warn the driver about risks on the road. In this paper, a real-time gaze tracking system is proposed as part of the development of an ADAS that obtains and communicates the driver’s gaze information. The developed ADAS uses gaze information to determine if the drivers are looking to the road with their full attention. This work gives a step ahead in the ADAS based on the driver, building an ADAS that warns the driver only in case of distraction. The gaze tracking system was implemented as a model-based system using a Kinect v2.0 sensor and was adjusted on a set-up environment and tested on a suitable-features driving simulation environment. The average obtained results are promising, having hit ratios between 96.37% and 81.84%.
Highlights
According to the World Health Organization (WHO), one of the top ten causes of death, globally, are road injuries produced by car accidents [1]
As reported by [2], more than 1.2 million deaths are the consequence of road traffic injuries, and the report shows that about 78% of car accidents are because of driver distractions
It is demonstrated that drivers are less likely (30–43%) to provoke collision-related damage when they have one or more passengers who can alert them
Summary
According to the World Health Organization (WHO), one of the top ten causes of death, globally, are road injuries produced by car accidents [1]. As stated in [4,5] it is demonstrated that drivers are less likely (30–43%) to provoke collision-related damage when they have one or more passengers who can alert them. For this reason, both industrial and academic communities are interested in Advanced Driver Assistance Systems (ADAS) [6]. Both industrial and academic communities are interested in Advanced Driver Assistance Systems (ADAS) [6] These systems aim to support the driver’s decision-making during the driving process, improving car safety, and road safety generally. High-end cars incorporate ADAS, more and more mid-range cars, and low-end cars incorporate these systems too [7]
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