KalmanFilter class
KalmanFilter implements a standard Kalman filter http://en.wikipedia.org/wiki/Kalman_filter. However, you can modify transitionMatrix, controlMatrix, and measurementMatrix to get an extended Kalman filter functionality.
For further details, please see: https://docs.opencv.org/4.6.0/dd/d6a/classcv_1_1KalmanFilter.html
- Inheritance
- Available extensions
Constructors
- KalmanFilter(KalmanFilterPtr ptr, [bool attach = true])
- KalmanFilter.create(int dynamParams, int measureParams, {int controlParams = 0, int type = MatType.CV_32F})
-
factory
Properties
- controlMatrix ↔ Mat
-
getter/setter pair
- errorCovPost ↔ Mat
-
getter/setter pair
- errorCovPre ↔ Mat
-
getter/setter pair
- gain ↔ Mat
-
getter/setter pair
- hashCode → int
-
The hash code for this object.
no setterinherited
- measurementMatrix ↔ Mat
-
getter/setter pair
- measurementNoiseCov ↔ Mat
-
getter/setter pair
- processNoiseCov ↔ Mat
-
getter/setter pair
-
props
→ List<
Object?> -
no setterinherited
-
ptr
↔ Pointer<
KalmanFilter> -
getter/setter pairinherited
- ref → KalmanFilter
-
no setteroverride
- runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
- statePost ↔ Mat
-
getter/setter pair
- statePre ↔ Mat
-
getter/setter pair
- temp1 → Mat
-
no setter
- temp2 → Mat
-
no setter
- temp3 → Mat
-
no setter
- temp4 → Mat
-
no setter
- temp5 → Mat
-
no setter
- transitionMatrix ↔ Mat
-
getter/setter pair
Methods
-
correct(
Mat measurement) → Mat -
dispose(
) → void -
init(
int dynamParams, int measureParams, {int controlParams = 0, int type = MatType.CV_32F}) → void -
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a nonexistent method or property is accessed.
inherited
-
predict(
{Mat? control}) → Mat -
toString(
) → String -
A string representation of this object.
inherited
Operators
-
operator ==(
Object other) → bool -
The equality operator.
inherited
Static Properties
- finalizer → NativeFinalizer
-
final