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Authors
Affiliations
1 Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor, MY
Source
Current Science, Vol 106, No 11 (2014), Pagination: 1548-1554
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 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 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 lowcost system can save many lives by the automated accident detection and accurate location even during GPS outage.
Keywords
Accelerometer, Accident Detection, GPS Recovers, Kalman Filter.
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