Create drone_navigation_system.py

features/autonomous_drone_inspection/drone_navigation_system.py

@@ -0,0 +1,27 @@
+# File name: drone_navigation_system.py
+import numpy as np
+from sklearn.neighbors import KDTree
+
+class DroneNavigationSystem:
+    def __init__(self, drone_position, obstacle_points):
+        self.drone_position = drone_position
+        self.obstacle_points = obstacle_points
+        self.kdtree = KDTree(obstacle_points)
+
+    def navigate(self, target_position):
+        path = []
+        current_position = self.drone_position
+        while current_position!= target_position:
+            distances, indices = self.kdtree.query(current_position, k=5)
+            nearest_obstacles = self.obstacle_points[indices]
+            path.append(current_position)
+            current_position = self.avoid_obstacles(nearest_obstacles, target_position)
+        return path
+
+    def avoid_obstacles(self, nearest_obstacles, target_position):
+        # Implement obstacle avoidance algorithm
+        pass
+
+drone_navigation_system = DroneNavigationSystem((0, 0, 0), [(1, 1, 1), (2, 2, 2), (3, 3, 3)])
+path = drone_navigation_system.navigate((10, 10, 10))
+print(path)