Bilkent University
Department of Computer Engineering


Hierarchical Embedded Platform Development for Autonomous Driving


Ege Berkay Gülcan
MS Student
Computer Engineering Department
Bilkent University

In order to tackle challenges of autonomous driving (AD), increasingly complex algorithms are applied to AD systems in the form of artificial intelligence (AI) systems such as deep neural networks (DNN). However, these algorithms require powerful computational resources in the form of GPUs, multi-core CPUs and FPGAs, which is not suitable for embedded systems used in autonomous vehicles. To decrease the computational load of such systems, we propose an hierarchical heterogenous framework for autonomous vehicles. This framework consists of three platforms, namely; edge, fog and cloud. Our frameworks provides platform and model selections using data fusion techniques.


DATE: 02 December 2019, Monday @ 17:10