#include <FaultDetection.hpp>
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| template<unsigned int DEGREE_OF_FREEDOM> |
| bool | rejectData (Eigen::Matrix< double, DEGREE_OF_FREEDOM, 1 > innovation, Eigen::Matrix< double, DEGREE_OF_FREEDOM, DEGREE_OF_FREEDOM > innovation_covariance, float threshold) |
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◆ rejectData()
template<unsigned int DEGREE_OF_FREEDOM>
| bool pose_ekf::ChiSquared::rejectData |
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Eigen::Matrix< double, DEGREE_OF_FREEDOM, 1 > |
innovation, |
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Eigen::Matrix< double, DEGREE_OF_FREEDOM, DEGREE_OF_FREEDOM > |
innovation_covariance, |
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float |
threshold |
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) |
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inline |
Uses the Chi_Square distribution under gaussion assumptions to reject or not an innovation
The documentation for this class was generated from the following file: