발간년도 : [2017]
| 논문정보 |
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| 논문명(한글) |
[Vol.12, No.5] Pedestrian-Vehicle Collision Detection System Using Acceleration and Gyroscope Sensors in Smart Phone |
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| 논문투고자 |
Tae-ho Lee, Sa-Joon Park |
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| 논문내용 |
Smart phones help people by providing convenience and mobility, etc. Due to the smart phone’s diversified functions, the demand for smart phones is continuously increasing. In this paper, we propose a collision detection system to validate a car accident between a pedestrian and a car by using sensors embedded in a smart phone. The collision detection system consists of four modules: measuring module, accident decision module, accident class decision module, and message sending module. The measuring module conducts monitoring by using 3-axial acceleration and gyro sensors. The accident decision module executes the accident class decision module when the analyzed data satisfies the accidental condition. In order not to lose the precious time when the pedestrian meets the accident, the system is designed to decide the degree of the pedestrian’s injury by using a self-decision algorithm and send important information such as the pedestrian’s personal information, place, type and time of accident and other pertinent data to 119, 112 or to a predefined emergency contact address. We developed the optimal accident decision threshold values based on the graph of impact acceleration produced after collision between a vehicle and a pedestrian with simulation. |
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