EarthOnDrive has put together a team of electronic & systems experts, remote sensing and photogrammetric software engineers, and signal processing engineers, and has developed the Drone Swarm Mapping technology, consisting of 40 UAV Drones, able to mount thermal SWIR and FLIR and Color camera sets onto a mapping grid of over 1 Mile by 1 Mile.
Projects that we will be deploying our swarm mapping technology on are mining and mineral mapping, large solar panel cluster assessments, griding technologies, construction site analysis, industrial on-site assessment and analysis, infrastructure planning and repair, and much more.
We have integrated and tested much of our blended software algorithms with public use software such as Ethereal, FCL, MAVROS, ZeroMQ, Mavlink, OctoMAP, OMPL, and of course ROS. We are very much interested in cooperations and joint partnerships, that need such drone swarm technologies to assess and map their own infrastructures.
Ethereum is an open blockchain platform that lets anyone build and use decentralized applications that run on blockchain technology. Flight Collision Library (FCL) is an open source project that includes various techniques for efficient collision detection and proximity computation. MAVROS provides communication driver for various autopilots with MAVLink communication protocol. In additional it provides UDP MAVLink bridge for ground control stations (e.g. QGroundControl). ZeroMQ as a message queueing system provides us with asynchronous sockets meaning that the timings of the physical connection setup and teardown, reconnect and effective delivery are transparent to the user and organized by message queueing itself. OctoMap is an efficient probabilistic 3D mapping framework based on octrees. The OctoMap library implements a 3D occupancy grid mapping approach, providing data structures and mapping algorithms in C++ particularly suited for robotics. The map implementation is based on an octree and is designed to meet many useful requirements for drone swarm mapping. The Open Motion Planning Library (OMPL) consists of many state-of-the-art sampling-based motion planning algorithms. OMPL itself does not contain any code related to, e.g., collision checking or visualization. This is a deliberate design choice, so that OMPL is not tied to a particular collision checker or visualization front end. The library is designed so it can be easily integrated into systems that provide the additional needed components. The Robot Operating System (ROS) is a set of software libraries and tools that help you build robot applications. From drivers to state-of-the-art algorithms, and with powerful developer tools, ROS has what you need for your next robotics project. And it's all open source.