gisnav
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Estimates airborne drone global position by matching video to map retrieved from onboard GIS server.
https://user-images.githubusercontent.com/22712178/187902004-480397cc-460f-4d57-8ed7-13f4e9bb3757.mp4
Introduction
Warning Do not use this software for real drone flights. GISNav is untested and has only been demonstrated in a simulation environment.
GISNav is a ROS 2 package that enables map-based visual navigation for airborne drones in a simulation environment.
GISNav provides a precise global position by visually comparing frames from the drone's nadir-facing camera to a map of the drone's approximate global position retrieved from an onboard GIS system.
Mock GPS Example
The below steps demonstrate how GISNav enables GNSS-free flight with PX4 Autopilot's Mission mode in a SITL simulation.
You will need to have the docker compose plugin and NVIDIA Container Toolkit installed.
Build and run SITL simulation
Build the Docker images and create and run the containers (downloading and building everything will take a long time):
Note This script will automatically expose your xhost to the created Docker containers to make the GUI applications work.
git clone https://github.com/hmakelin/gisnav.git
cd gisnav
make -C docker demo
Upload flight plan via QGroundControl
Once both the Gazebo and QGroundControl windows have appeared (QGroundControl should show the drone location near San
Carlos airport), use QGroundControl to upload the sample ~/ksql_airport_px4.plan flight plan that is included inside the
Docker container, and then start the mission.
Simulate GPS failure
Wait until the drone has risen to its final mission altitude. You should see a visualization of the GISNav-estimated field of view projected on the ground appear. You can then try disabling GPS through your MAVLink Shell (accessible e.g. through QGroundControl > Analyze Tools > MAVLink Console):
failure gps off
The drone should now continue to complete its mission GNSS-free with GISNav substituting for GPS.
You can check if PX4 is receiving the mock GPS position estimates by typing the following in the MAVLink shell:
listener sensor_gps
Documentation
See the latest developer documentation for information on how to setup a local environment for GISNav development, for code examples and API documentation, and for contribution guidelines.
License
This software is released under the MIT license. See the LICENSE.md file for more information.