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[wpilib] Add pose estimators (#2867)
Pose and state estimators can filter latency-compensated global measurements and fuse them with state-space drivetrain model information to estimate robot position. They are drop-in replacements for the existing odometry classes. Co-authored-by: Declan Freeman-Gleason <declanfreemangleason@gmail.com> Co-authored-by: Prateek Machiraju <prateek.machiraju@gmail.com> Co-authored-by: Claudius Tewari <cttewari@gmail.com> Co-authored-by: Matt <matthew.morley.ca@gmail.com>
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@@ -9,6 +9,18 @@
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namespace frc {
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Eigen::Matrix<double, 3, 1> PoseTo3dVector(const Pose2d& pose) {
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return frc::MakeMatrix<3, 1>(pose.Translation().X().to<double>(),
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pose.Translation().Y().to<double>(),
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pose.Rotation().Radians().to<double>());
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}
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Eigen::Matrix<double, 4, 1> PoseTo4dVector(const Pose2d& pose) {
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return frc::MakeMatrix<4, 1>(pose.Translation().X().to<double>(),
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pose.Translation().Y().to<double>(),
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pose.Rotation().Cos(), pose.Rotation().Sin());
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}
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template <>
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bool IsStabilizable<1, 1>(const Eigen::Matrix<double, 1, 1>& A,
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const Eigen::Matrix<double, 1, 1>& B) {
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