Unmanned Aerial Vehicles have undergone rapid developments in recent decades. This
has made them very popular for various military and civilian applications allowing us to …

Terrestrial-aerial bimodal vehicles bloom in both academia and industry because they
incorporate both the high mobility of aerial vehicles and the long endurance of ground …

Quadrotors are agile platforms. With human experts, they can perform extremely high-speed
flights in cluttered environments. However, fully autonomous flight at high speed remains a …

An important challenge for air–ground unmanned systems achieving autonomy is
navigation, which is essential for them to accomplish various tasks in unknown …

In autonomous navigation, sensors suffer from massive occlusion in cluttered environments,
leaving a significant amount of space unknown. In practice, treating the unknown space in …

Path planning is one of the key parts of unmanned aerial vehicle (UAV) fast autonomous
flight in an unknown cluttered environment. However, real-time and stability remain a …

Path planning is a computation-consuming task for autonomous ground vehicles (AGVs) in a
massive indoor environment, especially for AGVs having limited computing resources …

In this paper, we propose a novel mapping-planning framework for autonomous quadrotor
navigation. First, a polyhedron-based mapping algorithm is presented to fully exploit the …

Path planning is one of the key parts of unmanned aerial vehicle (UAV) fast autonomous
flight in cluttered environments. However, it remains a challenge to efficiently generate a …

In the past few decades, drones have become lighter, with longer hang times, and exhibit
more agile performance. To maximize their capabilities during flights in complex …