Analysis and Prospect of Existing UAV Path Planning Algorithms

Abstract

Now, UAV technology has become an indispensable means for human exploration and transportation, many transportation and exploration require UAVs to go to designated places. When the UAV is in the outdoor unknown environment, how to avoid obstacles quickly and accurately. This has become the most critical issue. Through the UAV path planning algorithm, the reaction ability of robots to avoid obstacles needs to be improved, so that the robot can reach the destination faster and more stably. As the key technology of UAV, the importance of path planning is self-evident. The premise of researching UAV path planning is the proficiency and application of algorithms. Now many scholars have studied this problem and proposed a large number of algorithms. Through the improvement of the algorithm, UAVs can easily face increasingly complex tasks. This paper summarizes the existing path planning algorithms of UAV from three aspects: bionic intelligence, local path planning and random intelligent algorithms, and analyzes their advantages and disadvantages.