Flight Strategy Design for Unmanned Aerial Vehicle Flying in Multi-threats Environment
Kai Zhou, Haifeng Guo, Qirui Zhang, Guowen Zhang · 2021 IEEE International Conference on Unmanned Systems (ICUS) · 2021
Designed a flight strategy for UAV flying in multi-threats environment, allows the ability of making decisions by UAV autonomously depending on information about threats and mission requirements. Firstly, modeled the multi-threats environment using probabilistic risk map which was formed by the damage probability density of the UAV and divided the environment by introducing anti-damage factor and adventure factor. Then, considered the dynamic constraint of UAV a flight strategy was proposed. Finally, discussed the prediction time domain and proved the effectiveness of the strategy by means of simulation.