Advanced system-level design for automated driving

Abstract

Automated driving (A.D.) requires concurrent execution of multiple complex driving functions on automotive embedded platforms. In general, such systems can be partitioned into early stages including sensor processing, individual perception, and cognition functions and into later, more centralized stages that perform data fusion, planning, and decision making. In this chapter, we exemplarily concentrate on automotive embedded processing systems for perception and cognition problems, however, we expect similar problems also on later stages such as data fusion. For perception and cognition, one can observe a wide gap between required processing power and the achievable embedded realizations which have to fulfill non-functional requirements such as low power and small cost. Furthermore, these systems must perform all processing under strict safety requirements that guarantee deadlines and provide high system robustness.