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* builder: Build against Buster * builder: Use correct repository specifications * builder: Move ld.so.preload to have less errors * builder: Use coex repo to install Monkey * builder: Search for buster ROS packages * aruco_pose: Vendor in aruco library from OpenCV 3.4.6 * builder: Move to ROS Melodic * builder: Update kernel version * aruco_pose, clever: Remove opencv3 ROS dependency * builder: Update rosdep * travis: Disable eclint for vendored aruco library * tests: Don't try to locate opencv in ros * roscore: Use melodic distribution * Revert "aruco_pose: Vendor in aruco library from OpenCV 3.4.6" This reverts commit 9c14a8c002bb3396f9a7d9b2ba39969207f066ba. * aruco_pose: Vendor opencv_contrib/aruco again * builder: Add led packages * builder: Remove unused builder code * travis: Add native tests * builder: Set permissions for standalone-install * builder: Use -y for package installation * builder: Add repo for standalone build * builder: Use correct file types for standalone install * aruco_pose: Accept rgb8 map images * builder: Disable mjpg_streamer test * aruco_pose: Allow rgb8 map images (again) * builder: Re-add mjpgstreamer * builder: Install tornado==4.2.1 for rosbridge_suite * builder: Use more recent base image * builder: Use default kernel * builder: Move ld.so.preload back after tests * builder: Disable catkin tests These tests fail on a remote machine but seem to pass just fine on real hardware. Something must have changed between Kinetic and Melodic, and we must investigate more, but for now we just need a working image. * aruco_pose: Remove unused vendored code * selfcheck: Update systemd-analyze regex * builder: Add opencv repository * rosdep: Update package definitions for Melodic * rosdep: Use proper yaml formatting * travis: Remove unnecessary space * docs: Reference Melodic wherever possible
COEX Clever
CLEVER (Russian: "Клевер", meaning "Clover") is an educational kit of a programmable quadcopter that consists of popular open source components, and a set of necessary documentation and libraries for working with it.
The kit includes a Pixhawk/Pixracer flight controller with the PX4 flight stack, a Raspberry Pi 3 as a controlling onboard computer, and a camera module for performing flights with the use of computer vision, as well as a set of various sensors and other peripherals.
The Clever platform contains a pre-configured image for Raspberry Pi with the full set of required software for working with peripheral devices and programming autonomous flights. The source code of the platform and of the documentation is open and available on GitHub.
If you have studied the documentation but have not found an answer to your question, join our support chat and our specialists will be happy to answer you: @COEXHelpdesk.
We also have a chat for programmers coding for PX4, autonomous navigation indoors, and drone swarms: @DroneCode.