Machine learning (ML) is widely used for key tasks in Connected and Automated Vehicles
(CAV), including perception, planning, and control. However, its reliance on vehicular data …

This survey paper explores the emergent domain of electric vertical takeoff and landing
vehicles (eVTOLs), emphasizing the critical role of autonomous navigation capabilities …

ChatGPT, a chatbot launched by OpenAI, is making waves across the internet recently. Its
potential capabilities and how it can impact various industries have been widely discussed …

Biological systems in nature have evolved for millions of years to adapt and survive the
environment. Many features they developed can be inspirational and beneficial for solving …

Road defect detection is critical step for road maintenance periodic inspection. Current
methodologies exhibit drawbacks such as low detection accuracy, slow detection speed …

Electric Vertical Takeoff and Landing (eVTOL) aircraft has gained significant attention as a
basic element of urban air mobility (UAM), a potential solution for urban transportation …

Testing is a pivotal phase for uncovering potential vulnerabilities in autonomous vehicles
(AVs) to develop a secure autonomy system. However, existing methods often lack …

In this study, we introduce an AR-based meta-vehicle road collaboration testing system (AR-
MVRTs), a significant advancement in autonomous driving testing. This system utilizes …

The security issues of the core (operating systems) of the Internet of Things (IoT) are
becoming increasingly urgent and prominent, this article conducts a systematic research …

The problem of aircraft entering and exiting water is a complex, nonlinear, strongly
disturbed, and multi-coupled multiphase flow problem, which involves the precise capture of …