Helper scripts and programs for trajectories to be used on UAVs
Parts of this software are based on [mav_trajectory_generation]: https://github.com/ethz-asl/mav_trajectory_generation, a software package developed at ETH Zurich, implementing a trajectory optimization approach developed at MIT. When using this work academically, follow their instructions on how to cite their work. We use the provided library in that package, but do not require ROS for execution.
Tested on Ubuntu 20.04. Install additional dependencies using:
sudo apt install libeigen3-dev libboost-program-options-dev libboost-filesystem-dev libnlopt-cxx-dev libgoogle-glog-dev
And on Fedora 33 with installed dependencies:
sudo dnf install NLopt-devel glog-devel eigen3-devel boost-devel
Clone and build this repository:
git clone --recursive https://github.com/whoenig/uav_trajectories.git
mkdir uav_trajectories/build
cd uav_trajectories/build
cmake ..
make
Instead of building the code locally, the Dockerfile can be used to containerize the application. This is useful if you don't want to install dependencies in your local environment or if you are using OSX.
To build the image use
docker build . -t gentrajectory
Use it by mapping your local file system into the container. In this example the current dir
is mapped to /module
. The genTrajectory application is running by default in the container
and all you need to add is the arguments
docker run --rm -it -v $PWD:/module gentrajectory --input /module/examples/waypoints1.csv --v_max 1.0 --a_max 1.0 -o /module/traj1.csv
This program takes a sequence of waypoints and dynamic quadrotor limits as inputs, and produces a smooth trajectory (with 0 derivatives at the beginning and end) that can be executed safely. All waypoints will be visited in order and the time of arrival at a waypoint is computed automatically.
Example:
./genTrajectory -i examples/waypoints1.csv --v_max 1.0 --a_max 1.0 -o traj1.csv
This python script fits an 8th order polynomial through the given time/position pair. This can be useful to define a choreography of multiple UAVs. All derivatives are 0 at the beginning and the end.
Example:
python3 ../examples/circle_with_time.py
python3 ../scripts/generate_trajectory.py timed_waypoints_circle0.csv circle0.csv --pieces 5
Here, the first script generates timed waypoints and writes them into csv files. The second script fits 5 pieces of an 8th-order spline through the generated waypoints.
This scripts also supports yaw. Example for an in-place yaw rotation:
python3 ../examples/yaw_with_time.py
python3 ../scripts/generate_trajectory.py timed_waypoints_yaw.csv yaw0.csv --pieces 5
python3 ../scripts/plot_trajectory.py yaw0.csv
A python script can be used to visualize a trajectory csv-file (3D plot, velocity, acceleration, angular velocity, yaw).
Example:
python3 ../scripts/plot_trajectory.py traj1.csv
A pyhton scirpt can be used to transform the generated csv files with coefficients of the polynomials to (x,y,z) position vector and its derivatives (up to the snap) in a csv format and plot the corresponding values.
python3 scripts/gen_traj.py --traj circle_0.csv --output circle_traj.csv --dt 0.01 --stretchtime 1.0
This python scripts takes the trajectory generated by genTrajectory, and converts it to a bezier defined between times [0,1]. You should evaluate this bezier for a given time with f(t/duration).
Example:
python3 ../scripts/convert_to_bezier.py traj1.csv bezier1.csv