Informatics Publishing Limited

Md. Syedul Amin ¹, Mamun Bin Ibne Reaz ¹, Mohammad Arif Sobhan Bhuiyan ¹, Salwa Sheikh Nasir ¹

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

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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Md. Syedul Amin ¹, Mamun Bin Ibne Reaz ¹, Salwa Sheikh Nasir ¹, Mohammad Arif Sobhan Bhuiyan ²

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

Abstract

Emergency Rescue Service could save many lives if the accident location could be intimated automatically. Accident location is generally acquired from Global Positioning System (GPS). However, location cannot be determined during GPS outage. This paper proposes an accident detection system by determining the deceleration from the accelerometers of a low cost Micro Electro Mechanical Systems (MEMS) based Inertial Measurement Unit (IMU). The three axes accelerometers, gyroscopes and magnetometers data of the IMU were also programmed as Attitude Heading Reference System (AHRS) to determine the orientation and the position of the vehicle during a GPS outage. Error in positional information were corrected by a Kalman filter during the availability of GPS. A communication module was programmed to send the accident data to the base station in real time. The test result showed the correct functioning of the accident detection and location information.

Keywords

Accident, AHRS, IMU, GPS, MEMS

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