Initial Study on the Path Planning's Algorithms for Unmanned Aerial Vehicles
Xiang Zhang · 2003
One of the key technologies for unmanned aerial vehicles (UAVs) is the study of path planning's algorithms. In this paper, an initial survey of recent work in this field is given. Firstly, the description of path planning and some related issues are introduced. Secondly, several common used algorithms are discussed respectively, such as A-Star algorithms, genetic algorithms, neural networks, probabilistic roadmap, rapidly exploring random trees, artificial potential field methods, case based algorithms and so on. Finally, the existing problems and challenges are also discussed, and in-flight real time re-planning problems is pointed out as a main future research direction.