DeepPicarMicro: Applying TinyML to Autonomous Cyber Physical Systems. (arXiv:2208.11212v1 [cs.LG])

Running deep neural networks (DNNs) on tiny Micro-controller Units (MCUs) is
challenging due to their limitations in computing, memory, and storage
capacity. Fortunately, recent advances in both MCU hardware and machine
learning software frameworks make it possible to run fairly complex neural
networks on modern MCUs, resulting in a new field of study widely known as
TinyML. However, there have been few studies to show the potential for TinyML
applications in cyber physical systems (CPS). In this paper, we present …

arxiv autonomous cyber lg systems tinyml