TY - GEN
T1 - 3D Clothoid-Based Decoupled Trajectory Planning for Fixed-Wing UAV
AU - Xiaoyu, Yang
AU - Zhouxing, Ai
AU - Juntong, Qi
AU - Hailong, Huang
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025/9
Y1 - 2025/9
N2 - This paper proposes a 3D Clothoid-based decoupled path and speed planning framework for the fixed-wing UAV to generate smooth and dynamically feasible trajectory in 3D space. Using 3D Clothoid curves, the framework ensures curvature continuity, while the decoupled planning approach lowers computational complexity by separating spatial and temporal optimization. A data association mechanism links path points with attractors, repellers, and barriers. An obstacle avoidance model based on these constraints, combined with repeller potentials and barrier functions, ensures safe navigation in constrained environments. Experimental results validate the ability of the framework to produce safe, smooth, and efficient trajectories, demonstrating its suitability for advanced UAV operations in complex environments. A demonstration of the experimental results can be viewed at the following link: https://youtu.be/zojptuAuXNE.
AB - This paper proposes a 3D Clothoid-based decoupled path and speed planning framework for the fixed-wing UAV to generate smooth and dynamically feasible trajectory in 3D space. Using 3D Clothoid curves, the framework ensures curvature continuity, while the decoupled planning approach lowers computational complexity by separating spatial and temporal optimization. A data association mechanism links path points with attractors, repellers, and barriers. An obstacle avoidance model based on these constraints, combined with repeller potentials and barrier functions, ensures safe navigation in constrained environments. Experimental results validate the ability of the framework to produce safe, smooth, and efficient trajectories, demonstrating its suitability for advanced UAV operations in complex environments. A demonstration of the experimental results can be viewed at the following link: https://youtu.be/zojptuAuXNE.
UR - https://www.scopus.com/pages/publications/105016260761
U2 - 10.1109/ICCA65672.2025.11129837
DO - 10.1109/ICCA65672.2025.11129837
M3 - Conference article published in proceeding or book
AN - SCOPUS:105016260761
T3 - IEEE International Conference on Control and Automation, ICCA
SP - 63
EP - 68
BT - 2025 IEEE 19th International Conference on Control and Automation, ICCA 2025
PB - IEEE Computer Society
T2 - 19th IEEE International Conference on Control and Automation, ICCA 2025
Y2 - 30 June 2025 through 3 July 2025
ER -