A Path Planning Method for A-Uav Based on the CGRUA Model
Jun Qi, Xing Xia, Jinjun Guo, Xiangnan Qin · 2025
Amphibious Unmanned Aerial Vehicle (A-UAV), equipped with multi-sensor systems, has significant value in digitization of water body by monitoring both aquatic and aerial domains. Compared to traditional methods, it offers improved multi-dimensional perception but faces challenges like complex operational paths and data fusion difficulties, which increase the risk of system failures. This study proposes a path planning model for A-UAV based on the CGRUA framework, combining drifting and flying paths to enhance endurance and measurement range. Using buoy data from the Global Drifter Program (GDP buoy ID 2101873), the accuracy of the hybrid CGRUA model predictions and the effectiveness of path planning was validated.