Author:
Li Boya,Wu Chenxi,Ding Jian,Zhu Difeng
Abstract
The advancement of unmanned aerial vehicle (UAV) and remote sensing technologies has fueled interest in automatic UAV inspection path planning based on inspection tasks. However, traditional methods suffer from limitations such as manual operation, inability to find optimized paths, and lengthy time consumption. We propose a rapid UAV inspection path planning method using a hybrid heuristic algorithm in this paper. First, real-world data is abstracted into a graph. Then, a hybrid heuristic algorithm is proposed and used to determine an optimal inspection path considering the tasks and power parameters of the UAV. Finally, the total power consumption for the mission is computed to assess UAV battery capacity adequacy. Experimental results demonstrate the effectiveness of our method in terms of both performance and accuracy.
Reference11 articles.
1. Shu Y., Liao H., Yao Z., Zhou Z., Wang X., and Tariq M., Sensing Integrated, Communication, and Computing for Self-Powered UAV-Assisted Corona Detection in High-Voltage Substations, IEEE Sensors Journal, pp. 20874-20881 (2023)
2. Yang L., Fan J., Liu Y., Li E., Peng J., and Liang Z., A Review on State-of-the-Art Power Line Inspection Techniques, IEEE Transactions on Instrumentation and Measurement, pp. 9350-9365 (2020)
3. Zhenzhen Z. et al., Intelligent Inspection Route Planning Based On the Improved AntLion Optimization Algorithm, in 2023 3rd Power System and Green Energy Conference (PSGEC), pp. 879-883 (2023)
4. Wu H., Chang H., and Tian X., Trajectory planning method for UAV inspection of transmission towers based on simulated annealing algorithm, Journal of Electronics and Information Science, pp. 52-57 (2023)
5. Toaza B. and Esztergár-Kiss D., A review of metaheuristic algorithms for solving TSPbased scheduling optimization problems, Applied Soft Computing, pp. 110908 (2023)