Metaverse for Connected and Automated Vehicles and Intelligent Transportation Systems [From the Guest Editors]

Abstract

To achieve this goal, the metaverse heavily relies on extended reality (XR), IoT, and communication technologies. With such an overlap in supporting technologies, we expect a convergence between connected and automated vehicle applications and the metaverse. Connected and automated vehicles are mobile platforms equipped with significant sensing and computing capabilities that can augment the metaverse. On the other hand, immersive metaverse applications can improve the en route entertainment and driving experience of the driver and passenger. Meanwhile, the richer information collected and created from the metaverse has created new challenges, such as information filtering, object positioning, vision transformation, etc. These challenges are often computation-intensive and bring considerable additional delay to the connected and automated vehicles which demand near real-time reactions. Researchers have thus proposed edge and cloud computing, machine learning, and computer vision solutions to tackle such challenges.