The infrastructure-vehicle cooperative autonomous driving approach relies on the
cooperation between intelligent roads and intelligent vehicles. This approach is not only …

Graphics Processing Units (GPUs) unlock emerging use cases like large language models
and autonomous driving. They process a large amount of sensitive data, where security is of …

Recent researches on robotics have shown significant improvement, spanning from
algorithms, mechanics to hardware architectures. Robotics, including manipulators, legged …

The recent proliferation of sensing and computing technologies has promoted the rapid
development of automated driving. A series of automated driving systems are consecutively …

Multi-modal computing (M 2 C) has recently exhibited impressive accuracy improvements in
numerous autonomous artificial intelligence of things (AIoT) systems. However, this …

Fast urbanization and climate change require innovative systems for an efficient movement
of people and goods in cities. As trends towards vehicle-sharing, autonomous vehicles, and …

We have commercially deployed an infrastructure-vehicle cooperative autonomous driving
system and verified its superiority over on-vehicle only autonomous driving systems …

In this article, we share our real-world experiences of digital twin, a practical autonomous
driving system development paradigm, which generates an integral, comprehensive …

This article is the first to provide a thorough system design overview along with the fusion
methods selection criteria of a real-world cooperative autonomous driving system enabled …

Despite many recent efforts, accelerating robotic computing is still fundamentally
challenging for two reasons. First, robotics software stack is extremely complicated …