@conference {35,
	title = {Are You a Safe Driver?},
	booktitle = {2009 International Conference on Computational Science and Engineering},
	year = {2009},
	publisher = {IEEE Computer Society},
	organization = {IEEE Computer Society},
	address = {Washington, DC, USA},
	abstract = {<p>As the world continues to enhance and strengthen its emergency services, mobile phones may be used to aid in safe driving practices and detection of emergencies. To our knowledge, no work has been reported in understanding vehicle motion using accelerometers/compass in cell phones. In this paper, we used the multiple sensors in a Google phone to classify safe versus unsafe driving. In particular, we used breaking distance, acceleration, and deceleration for detecting safe verses unsafe braking. Next, we calculated the displacement in the axis perpendicular to the trajectory of vehicle and used it to classify safe and unsafe lane changes. The direction of the phone with respect to the motion of the vehicle is important during calibration of the above measurements, so we used 2D and 3D rotation matrices for transforming device orientation. Future work includes calibration of braking distance, lane changes, and reliable transformation of phone orientation with respect to trajectory of the vehicle.</p>
},
	keywords = {Accelerometer, Android, driving, emergency, mobile phone, orientation, safe, unsafe},
	isbn = {978-0-7695-3823-5},
	doi = {10.1109/CSE.2009.331},
	url = {http://dx.doi.org/10.1109/CSE.2009.331},
	author = {Langle, Lonnie and Ram Dantu}
}
