Sensor Fusion and Tracking Toolbox™ provides estimation filters that are optimized for specific scenarios, such as linear or nonlinear motion models, linear or nonlinear measurement models, or incomplete observability.
Introduction to Estimation Filters
General review of estimation filters provided in the toolbox.
Estimate and predict object motion using a Linear Kalman filter.
Estimate and predict object motion using an extended Kalman filter.
Introduction to Out-of-Sequence Measurement Handling
Definition of out-of-sequence measurement and techniques of handling OOSM.
Introduce functions, objects, and blocks that support strict single-precision and non-dynamic memory allocation code generation in Sensor Fusion and Tracking Toolbox.