Research On Situation-Awareness Attention Distribution System

The emergence of 5G and artificial intelligence has ushered in a new era of human social informatization.The update of various technologies and algorithms has made a qualitative leap in the computing power and rate of machines,and the speed of information growth has increased exponentially.New applications for the Internet of things are emerging,with autonomous driving and intelligent transportation becoming one of the hottest areas.In traffic driving tasks,the requirement of automatic driving is not only to quickly identify and judge the road information by the computer,but also to make the decision of avoiding the danger according to the road conditions.Therefore,it is necessary to integrate the situational awareness and attention mechanism of the driver with the automatic recognition of the computer system to achieve a safer and more comfortable driving.Situational awareness is the core factor of information collection from the perspective of drivers’ cognition to understand and make decisions.Attention mechanism plays a crucial role in information processing of drivers and has a significant impact on drivers’ situational awareness.In this paper,the attention allocation mechanism of drivers will be studied and a situational awareness-attention distribution system will be constructed based on situational awareness.In the first two chapters of this paper,the research background and domestic and foreign research status of attention and situational awareness are discussed,including the rise,development and transition of situational awareness and attention distribution.In the third chapter of this paper,the advantages and disadvantages of the SEEV model of attention distribution are analyzed,and corresponding solutions are proposed.The primary factors affecting the driver’s attention distribution are discussed from the perspective of two drivers with different levels,and efforts are redefined.The design experiment USES the driving platform to carry on the simulation driving,has carried on the experiment demonstration to the above two questions.In the fourth chapter of this paper,the Attention-Situational Awareness(A-SA)model is optimized by designing experiments and analyzing three different levels of drivers’ traffic road observation eye maps.The slope was used to quantify the level of drivers’ situational awareness and the interaction between attention and situational awareness was studied.Finally,a practical situational awareness-attention distribution system is established to guide and assist drivers of different levels to complete driving tasks.