Intelligent UAV path planning simulation system is a software with fine operation control, strong platform integration, omnidirectional model building and application automation. It takes the UAV war between A and B in Zone C as the background. The core function of the system is to plan the UAV route through the simulation platform and verify th…
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drone_PathPlanning
├─fence.txt
├─leaflet_folium_plot.py
├─mission.waypoints
│
├─folium-0.12.1
│
├─leaflet
│
├─results
│
├─Sampling_based_Planning
│ ├─algorithm_mission_rrt2D
│ │ algorithm_mission_batch_informed_trees.waypoints
│ │ algorithm_mission_dubins_rrt_star.waypoints
│ │ algorithm_mission_dynamic_rrt.waypoints
│ │ algorithm_mission_extended_rrt.waypoints
│ │ algorithm_mission_fast_marching_trees.waypoints
│ │ algorithm_mission_informed_rrt_star.waypoints
│ │ algorithm_mission_rrt.waypoints
│ │ algorithm_mission_rrt_connect.waypoints
│ │ algorithm_mission_rrt_star.waypoints
│ │ algorithm_mission_rrt_star_smart.waypoints
│ │
│ ├─indoor_obstacle_avoidance_rrt3D
│ │ IOAPath_rrt3D.waypoints
│ │ IOAPath_rrt_star3D.waypoints
│ │ IOA_BIT_star3D.waypoints
│ │ IOA_extend_rrt3D.waypoints
│ │
│ ├─rrt_2D
│ │ batch_informed_trees.py
│ │ draw.py
│ │ dubins_path.py
│ │ dubins_rrt_star.py
│ │ dynamic_rrt.py
│ │ env.py
│ │ extended_rrt.py
│ │ fast_marching_trees.py
│ │ informed_rrt_star.py
│ │ judge.py
│ │ plotting.py
│ │ queue.py
│ │ rrt.py
│ │ rrt_connect.py
│ │ rrt_star.py
│ │ rrt_star_smart.py
│ │ utils.py
│ │ __init__.py
│ │
│ ├─rrt_2D_
│ │
│ ├─rrt_3D
│ │ ABIT_star3D.py
│ │ BIT_star3D.py
│ │ dynamic_rrt3D.py
│ │ env3D.py
│ │ extend_rrt3D.py
│ │ FMT_star3D.py
│ │ informed_rrt_star3D.py
│ │ plot_util3D.py
│ │ queueL.py
│ │ rrt3D.py
│ │ rrt_connect3D.py
│ │ rrt_star3D.py
│ │ utils3D.py
│ │
│ └─rrt_3D_
│
└─Search_based_Planning
├─algorithm_mission_Search2D
│ algorithm_mission_Anytime_D_star.waypoints
│ algorithm_mission_ARAstar.waypoints
│ algorithm_mission_Astar.waypoints
│ algorithm_mission_Best_First.waypoints
│ algorithm_mission_bfs.waypoints
│ algorithm_mission_Bidirectional_a_star.waypoints
│ algorithm_mission_Bidirectional_dfs.waypoints
│ algorithm_mission_Bidirectional_Dijkstra.waypoints
│ algorithm_mission_Bidirectional_D_star.waypoints
│ algorithm_mission_Bidirectional_D_star_Lite.waypoints
│ algorithm_mission_Bidirectional_LPAstar.waypoints
│ algorithm_mission_Bidirectional_LRTAstar.waypoints
│ algorithm_mission_Bidirectional_RTAAStar.waypoints
│
├─indoor_obstacle_avoidance_Search_3D
│ IOA_Anytime_Dstar3D.waypoints
│ IOA_Astar3D.waypoints
│ IOA_bidirectional_Astar3D.waypoints
│ IOA_Dstar3D.waypoints
│ IOA_DstarLite3D.waypoints
│ IOA_LP_Astar3D.waypoints
│ IOA_LRT_Astar3D.waypoints
│ IOA_RTA_Astar3D.waypoints
│
├─Search_2D
│ Anytime_D_star.py
│ ARAstar.py
│ Astar.py
│ Best_First.py
│ bfs.py
│ Bidirectional_a_star.py
│ dfs.py
│ Dijkstra.py
│ D_star.py
│ D_star_Lite.py
│ env.py
│ LPAstar.py
│ LRTAstar.py
│ plotting.py
│ queueL.py
│ RTAAStar.py
│
├─Search_2D_
│
├─Search_3D
│ Anytime_Dstar3D.py
│ Astar3D.py
│ bidirectional_Astar3D.py
│ Dstar3D.py
│ DstarLite3D.py
│ env3D.py
│ LP_Astar3D.py
│ LRT_Astar3D.py
│ plot_util3D.py
│ queueL.py
│ RTA_Astar3D.py
│ utils3D.py
│
└─Search_3D_
Custom routes and obstacle areas rrt_2D Path optimization effect chart
Because the internal structure has the characteristics of narrow space and many distractions, the degree of route planning at this time is more focused on the effect of three-dimensional obstacle avoidance, and the map is meaningless.