Part X: Sensor Fusion, World Models, and Spatial AI
Chapter 49  [C][A]

Probabilistic and Bayesian Fusion

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Sections

  1. 49.1 Bayesian fusion and covariance
  2. 49.2 Multi-sensor Kalman filtering
  3. 49.3 Occupancy grids
  4. 49.4 Data association (JPDA, MHT) and tracking
  5. 49.5 Factor-graph fusion (GTSAM), applying the estimator from Ch 11 to multi-sensor fusion
  6. 49.6 Uncertainty propagation
  7. 49.7 Consistency checks and fault detection

Lab 49

fuse two noisy sensors with different error profiles; visualize posterior uncertainty and detect an injected fault.