A radio remote controlled robot that maps the space around it.
python simulate.py -d 50 50 -p 25 25 -n -ani -g
_pos%3D(25%2C%2025)/Real-Map.png)
_pos%3D(25%2C%2025)/Produced-Map.png)
_pos%3D(25%2C%2025)/Confusion-Matrix.png)
_pos%3D(25%2C%2025)/loss.png)
The Code is written in Python 3.6.5 . If you don't have Python installed you can find it here. If you are using a lower version of Python you can upgrade using the pip package, ensuring you have the latest version of pip.
To install pip run in the command Line
python -m ensurepip -- default-pip
to upgrade it
python -m pip install -- upgrade pip setuptools wheel
to upgrade Python
pip install python -- upgrade
You have to install several dependencies to get the project up and running. To do so just type
pip install requirements.txt
This will install all necessery packages
The program runs using Simulate which relies on the use of LiMap and LiSim for the simulation
- Basic Usage
python simulate.py
Runs the Mapping procedure for one round- Plot and save the graphs(loss,real map, produced map, confusion matrix) at the default dir
withpython simulate.py -g - Add noise with
python simulate.py -n - Animate it with
python simulate.py --ani - Specify dimensions with
python simulate.py -d 10 10 - Specifiy position with
python simulate.py -p 5 5 - Save stats for nerds with
python simulate.py -stats - Change saving directory to "dim,pos"
python simulate.py -s - Save the animation in a .avi file
python simulate.py -video - Use a weighted confusion matrix
python simulate.py -rl
- Plot and save the graphs(loss,real map, produced map, confusion matrix) at the default dir
- Example of advanced usage:
python simulate.py -d 50 50 -p 10 10 -n -ani -stats -g
The example above is the above command executed
Please read CONTRIBUTING for the process for submitting pull requests.
Shout out to Mateo for making sure that our project has a sound secuirity policy. You will find
all the necesserary details here
- Alexander Flammant - Initial work
- Theodore Halley - Initial work
- Fotios Kapotos - Initial work
- Mateo Rivera - Initial work
This project is licensed under the MIT License - see the LICENSE.md file for details