Simulation environment to test, compare and evaluate multiple co-calibration methods
Run a given scenario
A scenario can be configured and then multiple methods are applied to the same configuration.
python evaluation_runner.py experiments/scenario_A/Visualize results of a scenario
Once run, the results can be visualized:
python visualization_runner.py experiments/scenario_A/Define a scenario
A scenario is defined inside a config.json, which stores information about the
- random state
- reference sensors
- device under test
- measurand
- sensor readings
- methods to be used
All options can also be loaded from an existing (i.e. from a previous run, to achieve or manipulate a specific setting).
Define a method
Available methods are defined in method_args/<method_name>.json.
- class name (as used in the actual source
cocalibration_methods.py) - arguments to initialize the class