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モーション プランニング
R2026a制約とコスト最適化を使用して飛行軌跡を生成します。UAV ミッションの障害物回避を実行します。軌跡を 3D シミュレーション環境にインポートします。
オブジェクト
関数
ブロック
![]() | Obstacle Avoidance | Compute obstacle-free direction using range sensor data and target position |
![]() | Minimum Jerk Polynomial Trajectory | Generate minimum jerk polynomial trajectories through multiple waypoints (R2022a 以降) |
![]() | Minimum Snap Polynomial Trajectory | Generate minimum snap polynomial trajectories through multiple waypoints (R2022a 以降) |
![]() | Read UAV Trajectory | Generate translation and rotation samples from UAV trajectory for 3D simulation (R2024b 以降) |
トピック
- Simulate UAV Mission in Urban Environment
Simulate a UAV mission in an urban environment using UAV scenario and OpenStreetMap® data of Manhattan, New York.
- Generate Random 3-D Occupancy Map for UAV Motion Planning
This example shows how to generate a random 3D occupancy map by automatically adding the desired number of obstacles of varying dimensions at random positions on the map.
- Simulate UAV Scenario Trajectory in Unreal Engine Environment
Design a flight trajectory in a UAV scenario, and simulate the trajectory in a 3D environment using Unreal Engine®.
- Design Real-World Trajectory in UAV Scenario and Visualize with Cesium
Design a real-world trajectory in a UAV scenario, and visualize the trajectory in a 3D environment using Cesium.
- Simulate Flight Plan in Real-World Location Using Cesium
Simulate a flight plan created with QGroundControl in a 3D environment using Cesium.








