To solve the problem that the traditional rapidly-exploring random tree(RRT) algorithm can not be directly applied to the path planning of Unmanned Aerial Vehicle(UAV), add the UAV turning angle constraint to the planning algorithm in the process of random point were produced, it make the path meet the capable of flying; For the problem that we could not determine the random point about the rap...

Most of the 3D curve path planning is used to build static path planning. For intercepting of a moving target, the path planning has to be set in a dynamic condition. L+Dumo algorithm which is based on curve is used to intercept a moving target. In the real situations, the Unmanned Aerial Vehicle (UAV) has possibility to intercept a moving target from all direction. It is assumed that environme...

Computing rectilinear shortest paths in two dimensions has been solved optimally using a number of different techniques. A variety of related problems have been solved, including minimizing the number of bends in the path, the total rectilinear distance, or some combination of both. However, solutions to the 3D versions of these problems are less common. We propose a solution to the 3D minimum-...

Efficient navigation of mobile platforms in dynamic human-centered environments is still an open research topic. We have already proposed an architecture (MEPHISTO) for a navigation system that is able to fulfill the main requirements of efficient navigation: fast and reliable sensor processing, extensive global world modeling, and distributed path planning. Our architecture uses a distributed ...

Optimal motion planning involves obstacles avoidance whereas path is the key to success in optimal planning. Due computational demands, most of algorithms can not be employed for real-time-based applications. Model-based reinforcement learning approaches have received particular recent past. Yet, such do deterministic output due randomness. In this paper, we investigate existing learning-based ...

In this paper, we study the three-dimensional (3D) path planning for a cellular-connected unmanned aerial vehicle (UAV) to minimize its flying distance from given initial final locations, while ensuring target link quality in terms of expected signal-to-interference-plus-noise ratio (SINR) at UAV receiver with each associated ground base stations (GBSs) during flight. To exploit location-depend...

This paper presents a 3D online path planning algorithm for a 6DOF Rotary Unmanned Aerial Vehicle (RUAV) operating in a cluttered environment using a Gaussian Process (GP) occupancy map. Traditional grid-based occupancy maps suffer from the curse of dimensionality for platforms that operate in a high dimensional configuration space. In addition, the grid resolutions, shapes and orientations lim...