Define a sequential Monte Carlo (SMC) model to estimate positions of objects from sensor data
Project description
# smcmodel_localize
Define a sequential Monte Carlo (SMC) model to estimate positions of objects from sensor data
## Task list
Make all data pipes work with Localizationodel or LocalizationModelMultilateration
Make LocalizationModel and LocalizationModelMultilateration work directly with database connections (no data pipes)
Remove all references to moving_objects in names; fixed objects are anchors
Consistently call is measurement_value_name or measurement_value_field_name
Fix up data source in smcmodel so it can be used more than once
Make shoe sensor and tray sensor subclasses (or otherwise derivative of this module)
Add functionality to migrate data from current CSV files to DatabaseConnection
Make visualizations handle database connections directly
Visualization: show date and time together on x axis
Visualization: Add standard deviation to plots
Visualization: Make functions more DRY by breaking out common code
Replace print statements with logging
Get better control over shallow vs. deep copies of dataframes
Add ribbon for standard deviation to plotting functions?
Add docstrings
Generate documentation
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