In the active safety systems, there are several sensors such as Camera (single or stereo), Radar (short, medium and long), Lidar, and Ultrasound. Each sensor will be used based on the given function or algorithm that has been considered

Driver Behavior Modeling

One of the most important factors in driver assistance systems is the modeling and identification of driver behavior. In a daily driving, the driver may have different behavior such as normal, aggressive, distractive and hastily. Regarding each of driving style, the warning system should adapt itself and change alerting time to respect driving comfort

Active Safety Systems

Despite passive safety systems which are enabled by the crash, active safety systems are triggered prior to an accident (pre-crash) in order to prevent the vehicle collision and guarantee safe driving

Advanced Driver Assistance Systems

ADASs include around 14 functions respecting different driving situations that can lead to an accident. These systems are implemented by small embedded systems which equipped with several algorithms. Each algorithm is defined for the specific scenario so that by analyzing driver, road and vehicle parameters make a proper decision for alerting the driver to avoid a collision. Some of ADASs are

Forward collision warning (FCW)

Lane departure warning (LDW)

Lane-keeping aid (LKA)

Automated emergency braking (AEB)

Driver Drowsiness detection (DDD)

Blind spot detection (BSD)

Adaptive cruise control (ACC)