Kalman filtered GPS accelerometer-based accident detection and location system: a low-cost approach
Abstract— A low – cost accident detection system utilizing cheap ADXL345 accelerometers and GPS receiver is proposed in this communication. The accident detection algorithm was developed based on the sudden deceleration. The double integration of the acceleration and heading from the tilt angles of accelerometers were used to determine the location. Kalman filter was utilized < Final Year Projects 2016 > to correct the accumulated double integration errors with the trusted GPS data. The field tests demonstrated the correct functioning of the accident detection algorithm and location. The proposed low- cost system can save many lives by the automated accident detection and accurate location even during GPS outage.
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