Drone_Motion_Planning
Drone_Motion_Planning copied to clipboard
Udacity's Flying Car & Autonomous Vehicles nanodegree second project submission
Project: 3D Motion Planning by
Required Steps for a Passing Submission:
- Load the 2.5D map in the colliders.csv file describing the environment.
- Discretize the environment into a grid or graph representation.
- Define the start and goal locations.
- Perform a search using A* or other search algorithm.
- Use a collinearity test or ray tracing method (like Bresenham) to remove unnecessary waypoints.
- Return waypoints in local ECEF coordinates (format for
self.all_waypointsis [N, E, altitude, heading], where the drone’s start location corresponds to [0, 0, 0, 0]. - Write it up.
- Congratulations! Your Done!
Rubric Points
SUBMISSION
The code walkthrough's are available at the below links :
-
motion_planning.py -
planning_utils.py
The grid representation of the 2.5D map and the path generated by the A* algorithm is as below :
And here is a short demo of the drone flying through the simulator :

The full simulatoin video can be found at Youtube