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Kalman Filtered GPS Accelerometerbased Accident Detection and Location System: A Low-Cost Approach


Affiliations
1 Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor, Malaysia
 

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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  • Kalman Filtered GPS Accelerometerbased Accident Detection and Location System: A Low-Cost Approach

Abstract Views: 247  |  PDF Views: 83

Authors

Md. Syedul Amin
Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor, Malaysia
Mamun Bin Ibne Reaz
Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor, Malaysia
Mohammad Arif Sobhan Bhuiyan
Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor, Malaysia
Salwa Sheikh Nasir
Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor, Malaysia

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.



DOI: https://doi.org/10.18520/cs%2Fv106%2Fi11%2F1548-1554