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Vol. 160, Issue 12, December 2013, pp. 111-117

 

Bullet

 

Vehicle Dynamic State Estimation Using Smartphone Embedded Sensors
 
Jie MA, Chaozhong WU, Shuiqing YAN

ITS Research Center, Wuhan University of Technology & Engineering Research Center for Transportation Safety, Ministry of Education, Heping Avenue #1040, Wuhan, 430063, China
E-mail: majie_hust@163.com

 

Received: 8 October 2013   /Accepted: 22 November 2013   /Published: 30 December 2013

Digital Sensors and Sensor Sysstems

 

Abstract: The access to the information on the vehicle motion state is of great significance for the vehicle stability control and the development of active safety products. However, the vehicle state parameter extraction is primarily accessed by attaching special sensors to the vehicles, which usually requires modification of redesign of the vehicle with high cost. Smartphone integrate gyro, orientation sensor, GPS and some other sensors thus providing a new way for vehicle dynamic parameter estimation. Therefore, we choose smartphone as our working platform, and data acquisition is fulfilled on a variety of mobile sensors embedded in an Android platform phone. Combining the features of these sensors and the properties of vehicle kinematics, a Kalman filter based sensor fusion approach is proposed to perform the vehicle state estimation. The parameters of vehicle heading angle and sideslip angle are extracted using fusion of data from the gyro, GPS and orientation sensor. Experiments carried on real vehicle show that the estimation results generated by fusing the gyro and orientation sensor are better than that of the gyro and GPS, but the two fusion approaches can complement each other in different contexts used. The main contribution of our work is that we provide a new attempt for accessing the vehicle dynamic parameters using off-the-shelf sensors.

 

Keywords: Vehicle dynamic state estimation, Smartphone, Kalman filter, Gyro, GPS, Orientation sensor.

 

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