Main Content

Kalman and particle filters, linearization functions, and motion
models

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.