A system for vehicle collision and rollover detection

Abstract

Traffic accidents negatively affect the lives of human beings. Accidents may result in deaths, severe injuries, and loss of income to the impacted families. Accident detection and prevention is a keystone in improving road safety. In this paper, a system for detecting vehicle collision and rollover is presented. The proposed system includes three key phases. Data acquisition where accelerometer and gyroscope, integrated into MPU-6050 motion sensor are used to acquire 3-axis acceleration forces and rotation angles respectively. The complementary filter is used to enable the use of the gyroscope data on the short term because it is very precise and not susceptible to external forces. On the long term, the accelerometer data is used because it does not drift. An algorithm for acquiring data using sensors, filtering and analyzing data, detecting collision and rollover is developed. Experiments are conducted to test the proposed system. Experiments show promising results.

DOI: 10.1109/CCECE.2016.7726720

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Cite this paper

@article{Ibrahim2016ASF, title={A system for vehicle collision and rollover detection}, author={Hamdy A. Ibrahim and Ahmed K. Aly and Behrouz Homayoun Far}, journal={2016 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)}, year={2016}, pages={1-6} }