eflatun_uav.filters

Filter implementations for moving objects

Classes

BaseFilter(input_size, output_size)

A base class representing a generic filter for moving objects.

class eflatun_uav.filters.BaseFilter(input_size: List, output_size: List)

Bases: object

A base class representing a generic filter for moving objects.

This class serves as a foundation for more specific filter implementations. It is designed to be subclassed, and does not provide a full implementation that can be used on its own.

__init__(input_size: List, output_size: List) → None

Initializes the base filter with the given input and output size.

Parameters:

• input_size (List) – The size of the input state. This is usually a list where each element represents the size of a different aspect of the input state.

• output_size (List) – The size of the output state. Similar to the input size, this is a list where each element represents the size of a different aspect of the output state.

predict() → ndarray

Predicts the next state based on the current state of the filter.

This method is intended to be overridden by subclasses.

Raises:

NotImplementedError – This method must be implemented in a subclass.

Returns:

The predicted next state. The size and structure of this output should match the output_size

specified when the filter was initialized.

Return type:

np.ndarray

update(input_state: ndarray)

Updates the state of the filter based on the given input state.

This method is intended to be overridden by subclasses.

Parameters:

input_state (np.ndarray) – The input state used to update the filter. The size and structure of this input should match the input_size specified when the filter was initialized.

Raises:

NotImplementedError – This method must be implemented in a subclass.