GitHub - Pateman16/simulation_control: ROS autonomous control for UAV. Will perform a search in a specific area for a UAV-frame with help of downwardsfacing camera and Tensorflow. When detected the UAV will try to land on the UAV frame.

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
action		action
lpe		lpe
src		src
.gitignore		.gitignore
CMakeLists.txt		CMakeLists.txt
README		README
package.xml		package.xml
run_this.sh		run_this.sh

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If you have the enviroment set up as the tutorial found here https://drive.google.com/open?id=1TP-kR2L8zDoeb2tTdHy4Co4Aqj2QQSS0wQGtv7M0Dlo

Follow https://github.com/AndersBogga/f550_amazing to set up the grasping of the UAV

Start

terminal1: roslaunch simulation_control posix_sitl_f550.launch

wait a little while

terminal2: roslaunch simulation_control px4.launch fcu_url:="udp://:14550@127.0.0.1:14557"

terminal3: roslaunch simulation_control simulation_control.launch 

to see the tensorflow detection: rosrun image_view image_view image:=/tensorflow_detection/image

About

ROS autonomous control for UAV. Will perform a search in a specific area for a UAV-frame with help of downwardsfacing camera and Tensorflow. When detected the UAV will try to land on the UAV frame.

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