A slow but reliable attitude estimation algorithm. More...

#include <attitude-estimators.hpp>

Inheritance diagram for lost::DavenportQAlgorithm:

Collaboration diagram for lost::DavenportQAlgorithm:

Public Member Functions
Attitude	Go (const Camera &, const Stars &, const Catalog &, const StarIdentifiers &)
	Actually run the star-id algorithm. More...

Public Member Functions inherited from lost::AttitudeEstimationAlgorithm
virtual	~AttitudeEstimationAlgorithm ()

Detailed Description

A slow but reliable attitude estimation algorithm.

Requires the Eigen3 library to find eigenvectors of a matrix. On the upside, it finds the optimal attitude estimate, and takes into account information from all identified stars.

Definition at line 31 of file attitude-estimators.hpp.

Member Function Documentation

◆ Go()

Attitude lost::DavenportQAlgorithm::Go	(	const Camera &	,
		const Stars &	,
		const Catalog &	,
		const StarIdentifiers &
	)

virtual

Actually run the star-id algorithm.

Uses the given centroids and star identifiers to come up with an attitude estimate which minimizes error.

Todo:: More detail in return type (eg, whether attitude estimation failed, measure of error)

Implements lost::AttitudeEstimationAlgorithm.

Definition at line 12 of file attitude-estimators.cpp.

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The documentation for this class was generated from the following files:

src/attitude-estimators.hpp
src/attitude-estimators.cpp

Public Member Functions

Detailed Description

Member Function Documentation

◆ Go()