Oliver Pink

Towards fully autonomous driving: Systems and algorithms

In order to achieve autonomous operation of a vehicle in urban situations with unpredictable traffic, several realtime systems must interoperate, including environment perception, localization, planning, and control. In addition, a robust vehicle platform with appropriate sensors, computational hardware, networking, and software infrastructure is essential.

System Architecture and Safety Requirements for Automated Driving

Driver assistance systems have been successfully deployed to the market in the last 15 years, resulting in an increase of driving comfort and driving safety. In the future, these systems will be able to analyze ever more complex traffic situations and to support the driver or even act independently. Upcoming functionality will combine longitudinal and lateral control to partially automated driving functions; highly automated functions will soon follow. With the increase of automation, the role of the driver is going to gradually change from an active driver to a passenger, at least for some duration of the drive. In this chapter, we discuss the implications of this evolution on the requirements for future vehicle architectures.