Stone Soup Framework

Stone Soup framework: development and assessment of tracking algorithms.

• Component Interfaces
  • Enabling Components
    • Data Input
    • Data Output
    • Simulation
  • Algorithm Components
    • Models
• Base Data Types
• Declarative Base
• Configuration
• Functions
  • Orbital
    • Orbital functions
  • Interpolation
• Measures
  • State Measures
  • Multi Measures
• Plotter
• Plugins
• Serialisation

Components

Stone Soup has a number of components which are used to build up a tracker. These included components are built upon the base Component Interfaces.

Enabling Components

• Detectors
  • TensorFlow
  • TensorNets
• Feeders
  • Filter
  • Geo
  • Multi
  • Time Based
  • Image
  • Track
• Metric Generators
  • Basic Metrics
  • Track-to-truth metrics
  • Optimal Sub-Pattern Assignment (OSPA) Metric
  • Posterior Cramér-Rao Bound (PCRB) Metric
  • Uncertainty Metric
  • Plotter Metric
  • CLEAR MOT Metrics
  • Metric Managers
• Movables
  • Actions
  • Grid-based Movables
• Platforms
• Readers
  • Generic
  • YAML
  • HDF5
  • AISHub
  • Kafka
  • Image
  • Video
  • OpenSky Network
  • Astronomical
• Sensors
  • Radars
    • Beam Patterns
    • Beam Shapes
  • Actions
  • Passive
  • Categorical
  • Gas
• Sensor Managers
  • Tree Search Managers
  • Reward Functions
  • Actionables
• Simulators
  • Simple Simulators
  • Platform Simulator
  • Transition Simulator
• Trackers
  • Point Process
• Writers
  • YAML
  • Kafka

Algorithm Components

• Data Association
  • General Association
  • Neighbour
  • Probability
  • Track-to-track Association
  • CLEAR MOT Association
  • Trees
  • Multi-Frame Assignment
• Deleters
  • Error Based
  • Time Based
  • Multi
• Gater
  • Distance
  • Filtered
• Kernel
• Hypothesiser
  • Simple
  • Distance
  • Probability
  • Gaussian Mixture
  • Categorical
  • Composite
  • Multi-Frame Assignment
• Initiators
  • Wrappers
  • Categorical
  • Composite
• Mixture Reducers
• Models
  • Clutter Models
  • Control Models
  • Measurement Models
    • Linear
    • NonLinear
    • Categorical
    • Gas
  • Transition Models
    • Linear
    • NonLinear
    • Categorical
• Predictors
  • Kalman
  • Particle
  • Kernel
  • Ensemble
  • Information
  • Accumulated State Densities
  • Categorical
  • Composite
• Proposal
  • Simple
• Regulariser
  • Particle
• Resampler
  • Particle
• Sampler
  • Particle
  • Detection
• Smoothers
  • Kalman
• Updaters
  • Kalman
  • Particle
  • Kernel
  • Ensemble
  • Recursive
  • Iterated
  • Information
  • Accumulated State Densities
  • Point Process
  • AlphaBeta
  • Sliding Innovation Filter
  • Categorical
  • Composite
  • Chernoff
  • Probabilistic

Data Types

Stone Soup has a number of data types used to pass data between components. These are built upon the Base Data Types.

• Data Types
  • Base Types
  • Array Types
  • Angle Types
  • Association Types
  • Detection Types
  • Ground Truth Types
  • Hypothesis Types
  • Interval Types
  • Metric Types
  • Mixture Types
  • Numeric Types
  • Particle Types
  • Prediction Types
  • Sensor Data Types
  • State Types
    • OrbitalState Types
  • Time Types
  • Track Types
  • Update Types