Online UAV Path Planning with Real-Time Scheduling, Spline Smoothing, and QPSO Algorithm

Online UAV path planning incorporates real-time scheduling, spline smoothing algorithms, and QPSO optimization techniques. The real-time scheduling component ensures path adaptability and responsiveness to dynamically changing environments and mission requirements through continuous trajectory recalculation. Spline smoothing algorithms mathematically optimize path curvature using polynomial interpolation methods (e.g., cubic splines) to minimize unnecessary turns and reduce mechanical stress on UAV systems. The QPSO algorithm implements quantum-mechanics-inspired particle swarm optimization to solve multidimensional objective functions, typically minimizing path length while avoiding obstacles and satisfying kinematic constraints. This integrated approach enhances UAV mission execution efficiency and safety across various operational scenarios, with implementation typically involving modular coding structures for scheduling handlers, spline calculators, and optimization kernels.