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Research On Dangerous Driving Motion Detection Based On WiFi And Mobile Phone Sensors

Posted on:2019-02-07Degree:MasterType:Thesis
Country:ChinaCandidate:L YangFull Text:PDF
GTID:2382330545459338Subject:Software engineering
Abstract/Summary:PDF Full Text Request
With the continuous development of society and economy,people have begun to drive the entire people's upsurge of self-driving.Almost all adult students have included their driving licenses as their essential skills.The driving schools in various places are overcrowded every day and the number of "novice" drivers on the road continues to increase.Although these "novice" drivers can normally drive vehicles,the lack of experience leads them to not have good driving habits and the ability to deal with unexpected problems,causing huge security risks.However,existing driver warning systems basically require professional equipment,and only high-end vehicles have installed these "high-profile" devices for attention detection or fatigue detection.Therefore,it is of great significance to study universal dangerous driving detection methods to reduce the hidden dangers of road traffic safety and to promote the formation of scientific driving behavior for "novice" drivers.This paper proposes a method of detecting dangerous driving behavior using WiFi and built-in sensors in a fixed scene where the driver is driving..It uses the WiFi signal to identify the driver's dangerous movement and uses the built-in sensor of the smart phone to detect the vehicle status.The method combines the information of the driver and the vehicle by the strong correlation between the driver's actions and the vehicle's status,and uses the detection results of the built-in sensor data of the smart phone to calibrate the recognition of the dangerous driving action by the WiFi signal,this way compensates for the defects of the surrounding environment and the vehicle's influence on the wireless signal to some extent,and realizes high-precision detection of dangerous driving actions.The specific research content is as follows:1)Combining with the existing research results and the analysis of the conditions during daily driving,we have defined 15 kinds of "dangerous driving actions" in the driving process,including driving actions with safety hazards such as fatigued driving,distracted attention,and inappropriate handling of congested road sections.In the WiFi wireless network environment of the vehicle,the danger driving operation is recognized by detecting the CSI(Channel State Information)channel state information of the WiFi signal,thereby real-time "monitoring" of the driving action while the driver is driving.2)For the intrinsic defects of wireless signals,we use built-in sensors in smart phones to calibrate dangerous driving motion recognition,which reduces false detection rate and improve detection accuracy.The smart phone is fixed on the vehicle,and the information of the vehicle is combined with the information of the built-in sensors of a plurality of smart phones to analyze the state of the vehicle.3)When the dangerous driving action is detected during driving,the driver is given an early warning reminder,and the driver is evaluated for driving behavior,so that the "novice" driver can form a good driving habit and effectively reduce the hidden danger of traffic safety.
Keywords/Search Tags:Dangerous driving action, CSI motion recognition, Sensor detection
PDF Full Text Request
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