State-of-the-Art Analysis of Available Advanced Driver Assistance Systems

Abstract

This paper presents a related work analysis of advanced driver assistance systems. These systems are aimed to help the driver in the driving process. They detect and alerts drivers with dangerous driving situations and behavior. Such systems use computer vision and machine learning algorithms to monitor and detect whether the driver is tired or distracted using front-facing camera while at the same time tracking road conditions using rear-facing camera. In addition, smartphone sensors, such as accelerometer, magnetometer, gyroscope and GPS, can help in identifying these dangerous events. Presented related work shows that there are two major types of driver assistant solutions available. They are solutions integrated in the vehicles and application for mobile phones that detect dangerous situations and makes alerts for drivers.

Keywords

• ADAS
• Driver Assistant systems
• Dangerous situations
• state-of-the-art