This study investigates Unmanned Aerial Vehicle (UAV) motion planning for ground attack missions involving enemy defenses. The UAV dynamics are modelled as ...
Task Assignment/Trajectory Planning for Unmanned Vehicles Via HFLC and PSO ... Incorporating feedback predictions for optimized UAV attack mission planning.
Jun 8, 2024 · This paper reviews recent progress in UAV mission planning. First, basic concepts of UAVs and their mission planning problem are given. And ...
Optimizing multiple UAV cooperative ground attack missions · Incorporating feedback predictions for optimized UAV attack mission planning · A predictive motion ...
This review paper provides insights into optimization strategies for Unmanned Aerial Vehicles (UAVs) in a variety of surveillance tasks and scenarios.
This paper presents a target tracking technique for a quadcopter based on Model Predictive Control (MPC) tuned using machine learning.
Jardine, Incorporating feedback predictions for optimized UAV attack mission planning; Sun, Mission planning for energy-efficient passive UAV radar imaging ...
This study will assist researchers in understanding the latest work done in the motion planning of UAVs through various optimization techniques. Moreover, this ...
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In the problem of trajectory optimization for unmanned aerial vehicles (UAVs) passing through multiple target points, continuous velocity and acceleration ...
May 2, 2024 · We aim to showcase how LLMs can optimize communication, adapt to new missions dynamically, and process complex data streams, enhancing UAV ...