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 …

Given an extensive set of challenges, the aviation industry is required to undergo a
transformation into a connected, efficient and sustainable ecosystem. This transformation is …

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

The development of autonomous systems in military drone operations signifies a paradigm
shift in modern warfare strategies, and modern warfare emphasizes the crucial role of …

Many megacities, such as London, New York, Paris, Tokyo, Beijing, and Shanghai, have
been born due to urban-ization. While citizens enjoy the convenience of city life, such cities …

Over the past few years, our traditional ground-based transportation system has
encountered various challenges, including overuse, traffic congestion, growing urban …

Urban air mobility is an innovative mode of transportation in which electric vertical takeoff
and landing (eVTOL) vehicles operate between nodes called vertiports. We outline a self …

This paper focuses on the distributed adaptive cooperative control problem for human-in-the-
loop (HiTL) heterogeneous unmanned aerial vehicle-unmanned ground vehicle (UAV-UGV) …

This paper presents the Vertidrome Airside Level of Service (VALoS) framework, a novel
performance metric designed to evaluate airside traffic flow operations at vertidromes in the …

The application of deep reinforcement learning (DRL) techniques in intelligent transportation
systems garners significant attention. In this field, reward function design is a crucial factor …