With the rapid development of autonomous driving technologies, a vast array of autonomous
driving algorithms and platforms have emerged. These algorithms and platforms are usually …

The emerging development of connected and automated vehicles imposes a significant
challenge on current vehicle control and transportation systems. This paper proposes a …

The recent proliferation of computing technologies (eg, sensors, computer vision, machine
learning, and hardware acceleration) and the broad deployment of communication …

Autonomous driving systems have attracted a significant amount of interest recently, and
many industry leaders, such as Google, Uber, Tesla, and Mobileye, have invested a large …

Autonomous driving (AD) and Cooperative Driving Automation (CDA) hold great promise for
transforming mobility. However, current off-the-shelf AD or CDA platforms such as Autoware …

Architecture design is one of the most important problems for an intelligent system. In this
paper, a practical framework of hardware and software is proposed to reveal the external …

An unprecedented proliferation of autonomous driving technologies has been observed in
recent years, resulting in the emergence of reliable and safe transportation services. In the …

Collaborative driving can significantly reduce the computation offloading from autonomous
vehicles (AVs) to edge computing devices (ECDs) and the computation cost of each AV …

To simultaneously enable multiple autonomous driving services on affordable embedded
systems, we designed and implemented LoPECS, a Low-Power Edge Computing System …

Tesla's full self-driving (FSD) computer is the world's first purpose-built computer for the
highly demanding workloads of autonomous driving. It is based on a new System on a Chip …