Ananthan's Blog

The drone is able to search and find the landing platform. Once it finds the landing platform it will try to orient itself and land in the platform. Both of these are implemented using Neural Network. The tag used in the landing platform is from the ros package ar_track_alvar.

This is the initial results of the AR Drone autonomous landing procedure using Neural Network. The video is playing at 2X. NB: These are not the final result. Need further optimization.

This video is a part of an AR Drone autonomous landing project. Here the AR Drone is controlling itself so that the landing platform is exactly in the middle so that it can  initiate a proper landing. Here AR Drone is also tracking the Tag embedded on the landing platform (Not using the inbuilt tag detection. The tag that is being used here is from the ar_track_alvar package.). This is implemented using Neural Network. The video is not a part of a completed project. (The video is playing at a slightly faster rate.) [NB: As you can see the drone is not orienting itself as it is trying to reach just above the tag. This is only because I didn't train it to do so.] Packages used: ardrone_autonomy, tum_simulator, ar_track_alvar, custom packages (some packages I created for collecting data for training, republishing twist cmd_vel with time stamp, implementation of NN, custom launch files and worlds.)

This is a demonstration of AR Drone 2.0 simulation under gazebo using tum_simulator on ROS Indigo. This video is a part of an autonomous landing of AR Drone project.  Packages used: ardrone_autonomy, tum_simulator, ardrone_tutorials