Title :
Are You a Safe Driver?
Author :
Langle, Lonnie ; Dantu, Ram
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of North Texas, Denton, TX, USA
Abstract :
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.
Keywords :
matrix algebra; mobile computing; road safety; road vehicles; sensor fusion; Google phone; acceleration parameter; breaking distance; deceleration parameter; emergency service; mobile phone; multiple sensor; rotation matrix; safe driver; vehicle motion; Acceleration; Accelerometers; Calibration; Computer science; Global Positioning System; Mobile handsets; Roads; Testing; Vehicle driving; Vehicle safety; Android; accelerometer; driving; emergency; mobile phone; orientation; safe; unsafe;
Conference_Titel :
Computational Science and Engineering, 2009. CSE '09. International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-5334-4
Electronic_ISBN :
978-0-7695-3823-5
DOI :
10.1109/CSE.2009.331