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 …

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 …

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 …

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

There is extensive literature on using convex optimization to derive piece-wise polynomial
trajectories for controlling differential flat systems with applications to three-dimensional …

In this paper, we propose a framework for online quadrotor motion planning for autonomous
navigation in unknown environments. Based on the onboard state estimation and …

Autonomous micro aerial vehicles (MAVs) have cost and mobility benefits, making them
ideal robotic platforms for applications including aerial photography, surveillance, and …

In this article, we propose a complete and robust system for the aggressive flight of
autonomous quadrotors. The proposed system is built upon on the classical teach-and …

Micro aerial vehicles (MAVs), especially quadrotors, have been widely used in field
applications, such as disaster response, field surveillance, and search‐and‐rescue. For …

This paper proposes an efficient data structure, ikd-Tree, for dynamic space partition. The ikd-
Tree incrementally updates a kd tree with new coming points only, leading to much lower …