Examples
Here are a selection of examples of Stone Soup features.
Classification
Classification Using Hidden Markov Model
Disjoint Tracking and Classification
Data Association
Comparing Efficient Hypothesis Management (EHM) with probability associators
Multi-Frame Assignment example
Generic One-to-One Association Examples
Filters
Comparing Multiple Trackers On Manoeuvring Targets
Bearings-only tracking example
Metrics
Out of Sequence Measurements
Kalman filter with Out-of-Sequence measurements
Particle filtering with Out-of-sequence Measurements
Handling OOSM using inverse time dynamics
Dealing with Out-Of-Sequence Measurements with a fixed lag storage
Plotting
Readers
Use of Custom Readers that support Pandas DataFrames
Sensor Fusion
Performance comparison between Kalman and Particle Filters
Sensor Management
Reinforcement Learning Sensor Manager
Simulation
Multi-Target Tracking in 3D Using Platform Simulation
Multi-Sensor Moving Platform Simulation Example
Creating Smooth Transitions Between Coordinates
RangeRangeRateBinning measurement model example
Track Fusion
Multi-Sensor Fusion: Covariance Intersection Using Tracks as Measurements
Comparing different filters in the context of track fusion