Yes! There is a thriving maker community on DIYDrones that does just that.
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No! It is and always will be fully open.
The community is thriving so we don't intend to fix something that isn't broken. The new structure should enable more companies to give resources and support the community.
As the APM and PX4 project matured and were more widely adopted as part of the drone revolution, it became clear that the kind of professional management and governance that the Linux Foundation provides for other leading open source projects would help them reach the next level of participation, performance and innovation. The combination of independence and a clear path for corporate participation and adoption while protecting open source ideals is something these projects have always been built on, and the experience and reputation of the Linux Foundation ensures that these will be embraced and preserved as the industry around them grows.
Dronecode encompasses projects that control flight, enabling mission planning, and otherwise make drone flight and advanced functionality possible. Dronecode development is done at the project level with coordinating and resource allocation performed by the TSC and the Board.
Initial Core Projects:
APM/ArduPilot is an open source unmanned aerial vehicle (UAV) platform, able to control autonomous multicopters, fixed-wing aircraft, traditional helicopters and ground rovers. Created in 2007 by the DIY Drones community, APM/ArduPilot is now one of the world's leading autonomous vehicle platforms. The ArduPilot project has developed to enable a range of hardware and software products, including the APM and Pixhawk/PX4 line of autopilots, and the ArduCopter, ArduPlane, and ArduRover software projects.
PX4 is an independent, open-source, open-hardware project aiming at providing a high-end autopilot to the academic, hobby and industrial communities (BSD licensed) at low costs and high availability. It is a complete hardware and software platform, much like a computer, and can run multiple autopilot applications. It is supported by the PIXHAWK Project of the Computer Vision and Geometry Lab of ETH Zurich (Swiss Federal Institute of Technology) and by the Autonomous Systems Lab and the Automatic Control Laboratory as well from a number of individuals.