Motion planning is a vital module for unmanned aerial vehicles (UAVs), especially in
scenarios of autonomous navigation and operation. This survey delivers some recent state …

Aerial robots are widely deployed, but highly cluttered environments such as dense forests
remain inaccessible to drones and even more so to swarms of drones. In these scenarios …

In recent years, unmanned aerial vehicles (UAVs) have been confirmed as a powerful tool
for countless applications in nearly every industry, in which collision avoidance plays a vital …

Humans are able to form a complex mental model of the environment they move in. This
mental model captures geometric and semantic aspects of the scene, describes the …

In this letter, we propose a robust and efficient quadrotor motion planning system for fast
flight in three-dimensional complex environments. We adopt a kinodynamic path searching …

Gradient-based planners are widely used for quadrotor local planning, in which a Euclidean
Signed Distance Field (ESDF) is crucial for evaluating gradient magnitude and direction …

Recent advances in trajectory replanning have enabled quadrotor to navigate autonomously
in unknown environments. However, high-speed navigation still remains a significant …

Coupled with the rise of Deep Learning, the wealth of data and enhanced computation
capabilities of Internet of Vehicles (IoV) components enable effective Artificial Intelligence …

Autonomous exploration is a fundamental problem for various applications of unmanned
aerial vehicles (UAVs). Existing methods, however, were demonstrated to insufficient …

Micro Aerial Vehicles (MAVs) that operate in unstructured, unexplored environments require
fast and flexible local planning, which can replan when new parts of the map are explored …