A quality assessment model for unmanned aerial vehicle path planning based on Bayesian Networks

To solve the problem how to assess the quality of the path planning algorithm of UAV (unmanned aerial vehicle) under certain conditions of mountainous terrain, this paper uses a variety of intelligent algorithms to plan out the path of UAV. Meanwhile, after assessing the quality of the path planning algorithm of UAV from both the quality of the path and the performance of the algorithm, this paper establishes a quality evaluation model and then evaluated it with static Bayesian Networks approach. After planning out the path of UAV, the operating results of the path planning algorithm are transformed into observational evidence of Bayesian Networks evaluation. And then, the quality of the path planning algorithm is assessed in the simulation experiment by using MATLAB platform. Finally, the result of the simulation experiment is compared with the realistic planning result to verify the application performance of Bayesian Networks in this field.