Optimization of driver monitoring ADAS algorithm for heterogeneous platform

Abstract

© 2016 IEEE. Rapid expansion of Advanced Driver Assistance Systems (ADAS) applications has resulted in development of many new algorithms that are applied in solving various challenging problems. These algorithms need to be implemented on existing ADAS platforms which are usually heterogeneous in order to maximize computing power, while minimizing power consumption. The problem becomes how to efficiently decouple the algorithm and map parts of it to heterogeneous hardware, often including CPU, DSP and GPU blocks. This paper gives some insight into efficient ADAS algorithms mappings and optimizations for these platforms. As an illustrative example, driver monitoring algorithm is optimized.