Placeholder chapter page. Sections are produced by the book-skills pipeline.
Sections
- 49.1 Bayesian fusion and covariance
- 49.2 Multi-sensor Kalman filtering
- 49.3 Occupancy grids
- 49.4 Data association (JPDA, MHT) and tracking
- 49.5 Factor-graph fusion (GTSAM), applying the estimator from Ch 11 to multi-sensor fusion
- 49.6 Uncertainty propagation
- 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.