Driving assistance using smartdevices

The technology embedded in common smartdevices can be used for important tasks, as the enhancement of drivers safety. In this paper, two algorithms which can be easily implemented in a smartdevice and make use of standard onboard sensors, such as the camera and the accelerometer, are described. The first exploits the high performance in image processing of Cellular Nonlinear Networks to detect the occurrence of blinking eyes during driving, which can be associated to a state of fatigue of the driver. The second algorithm addresses the problem of brusque braking in order to enhance the capabilities of existing braking assistance devices. The obtained experimental results assess the capabilities of the proposed algorithms and their effectiveness in increasing driver safety at a low cost.