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41 if (
H)
throw std::runtime_error(
"SO<N>::Retract jacobian not implemented.");
44 const auto I = Eigen::MatrixXd::Identity(
n,
n);
52 if (
H)
throw std::runtime_error(
"SO<N>::Local jacobian not implemented.");
53 const size_t n =
R.rows();
54 const auto I = Eigen::MatrixXd::Identity(
n,
n);
55 const Matrix X = (
I -
R.matrix_) * (
I +
R.matrix_).inverse();
61 if (
N==2)
return I_1x1;
62 throw std::runtime_error(
63 "SO<N>::AdjointMap only implemented for SO2, SO3 and SO4.");
68 throw std::runtime_error(
"SO<N>::Expmap only implemented for SO3 and SO4.");
73 throw std::runtime_error(
"SO<N>::ExpmapDerivative only implemented for SO3.");
78 throw std::runtime_error(
"SO<N>::Logmap only implemented for SO3.");
83 throw std::runtime_error(
"O<N>::LogmapDerivative only implemented for SO3.");
99 for (
size_t i = 0;
i <
N;
i++) {
109 std::cout <<
s <<
matrix_ << std::endl;
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SO inverse() const
inverse of a rotation = transpose
static SO Retract(const TangentVector &xi, ChartJacobian H={})
static MatrixNN Hat(const TangentVector &xi)
typedef and functions to augment Eigen's MatrixXd
static MatrixDD ExpmapDerivative(const TangentVector &omega)
Derivative of Expmap, currently only defined for SO3.
static SO Expmap(const TangentVector &omega, ChartJacobian H={})
static MatrixDD LogmapDerivative(const TangentVector &omega)
Derivative of Logmap, currently only defined for SO3.
MatrixNN matrix_
Rotation matrix.
static Matrix VectorizedGenerators()
Calculate N^2 x dim matrix of vectorized Lie algebra generators for SO(N)
static size_t AmbientDim(size_t d)
SO()
Construct SO<N> identity for N >= 2.
MatrixDD AdjointMap() const
Adjoint map.
A matrix or vector expression mapping an existing array of data.
static TangentVector Logmap(const SO &R, ChartJacobian H={})
constexpr int NSquaredSO(int N)
void print(const std::string &s=std::string()) const
constexpr static auto dimension
static TangentVector Local(const SO &R, ChartJacobian H={})
EIGEN_DEVICE_FUNC const EIGEN_STRONG_INLINE Scalar * data() const
static TangentVector Vee(const MatrixNN &X)
Inverse of Hat. See note about xi element order in Hat.
VectorN2 vec(OptionalJacobian< internal::NSquaredSO(N), dimension > H={}) const
Rot2 R(Rot2::fromAngle(0.1))
gtsam
Author(s):
autogenerated on Sun Dec 22 2024 04:13:29