추정 필터
칼만 필터 및 입자 필터, 선형화 함수, 모션 모델
Sensor Fusion and Tracking Toolbox™는 선형 모션 모델 또는 비선형 모션 모델, 선형 측정 모델 또는 비선형 측정 모델, 불완전한 관측 가능성 등과 같은 특정 시나리오에 최적화된 추정 필터를 제공합니다.
함수
도움말 항목
- Introduction to Estimation Filters
General review of estimation filters provided in the toolbox.
- Linear Kalman Filters
Estimate and predict object motion using a Linear Kalman filter.
- Extended Kalman Filters
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.
- Motion Model, State, and Process Noise
Introduce kinematic motion model, state, and process noise conventions.
- Generate Code with Strict Single-Precision and Non-Dynamic Memory Allocation
Introduce functions, objects, and blocks that support strict single-precision and non-dynamic memory allocation code generation in Sensor Fusion and Tracking Toolbox.