UAV Collision Avoidance Considering No-Fly-Zones

UAV Collision Avoidance using A * Algorithm

Collision avoidance is the essential requirement for unmanned aerial vehicles (UAVs) to become fully autonomous. Several algorithms have been proposed to do the path planning in a simulated environment, but only few can make them effectively survive in a dynamic environment. This issue keeps UAVs from commercial and other applications because when the UAVs fly autonomously, the inability to rel...

UAV Collision Avoidance Using Artificial Potential Fields

Over recent years, research into Unmanned Aerial Vehicles (UAVs) has increased substantially. However, if autonomous flight of these vehicles is to become feasible in the near future, a collision avoidance scheme must be developed to ensure airspace safety. In this paper, we propose a novel artificial potential field approach to this problem, which, combined with a powerful priority-based syste...

Uav Trajectory Design Using Total Field Collision Avoidance

A system of N navigating vehicles, each associated with a start position and a goal position, may involve a large number of potential conflicts that grows exponentially with N and calls for a distributed rather than centralized control approach. This paper investigates the feasibility of a total field sensing approach for collision avoidance as an alternative to previously published techniques ...

UAV Collision Avoidance Using RRT* and LOS Maximization

Unmanned Aerial Vehicles (UAVs) are becoming increasingly useful for several different applications. One issue faced in the growing popularity of UAVs is collision avoidance. With multiple aircraft in a finite airspace, some sort of algorithm must be used in order to avoid near misses and collisions while staying within reasonable bounds for a given mission. This paper proposes a new algorithm ...

Collision analysis for an UAV