248 lines
7.9 KiB
C++
248 lines
7.9 KiB
C++
/**
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* @file Pose2.cpp
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* @brief 2D Pose
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*/
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#include <boost/foreach.hpp>
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#include <gtsam/geometry/Pose2.h>
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#include <gtsam/base/Lie-inl.h>
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using namespace std;
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namespace gtsam {
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/** Explicit instantiation of base class to export members */
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INSTANTIATE_LIE(Pose2);
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static const Matrix I3 = eye(3), Z12 = zeros(1,2);
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static const Rot2 R_PI_2(Rot2::fromCosSin(0., 1.));
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/* ************************************************************************* */
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Matrix Pose2::matrix() const {
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Matrix R = r_.matrix();
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R = stack(2, &R, &Z12);
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Matrix T = Matrix_(3,1, t_.x(), t_.y(), 1.0);
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return collect(2, &R, &T);
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}
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/* ************************************************************************* */
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void Pose2::print(const string& s) const {
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cout << s << "(" << t_.x() << ", " << t_.y() << ", " << r_.theta() << ")" << endl;
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}
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/* ************************************************************************* */
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bool Pose2::equals(const Pose2& q, double tol) const {
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return t_.equals(q.t_, tol) && r_.equals(q.r_, tol);
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}
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/* ************************************************************************* */
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#ifdef SLOW_BUT_CORRECT_EXPMAP
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template<> Pose2 expmap(const Vector& xi) {
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Point2 v(xi(0),xi(1));
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double w = xi(2);
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if (fabs(w) < 1e-5)
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return Pose2(xi[0], xi[1], xi[2]);
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else {
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Rot2 R(Rot2::fromAngle(w));
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Point2 v_ortho = R_PI_2 * v; // points towards rot center
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Point2 t = (v_ortho - R.rotate(v_ortho)) / w;
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return Pose2(R, t);
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}
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}
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Vector logmap(const Pose2& p) {
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const Rot2& R = p.r();
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const Point2& t = p.t();
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double w = R.theta();
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if (fabs(w) < 1e-5)
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return Vector_(3, t.x(), t.y(), w);
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else {
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double c_1 = R.c()-1.0, s = R.s();
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double det = c_1*c_1 + s*s;
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Point2 p = R_PI_2 * (R.unrotate(t) - t);
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Point2 v = (w/det) * p;
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return Vector_(3, v.x(), v.y(), w);
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}
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}
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#else
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/* ************************************************************************* */
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Pose2 Pose2::Expmap(const Vector& v) {
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return Pose2(v[0], v[1], v[2]);
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}
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/* ************************************************************************* */
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Vector Pose2::Logmap(const Pose2& p) {
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return Vector_(3, p.x(), p.y(), p.theta());
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}
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#endif
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/* ************************************************************************* */
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// Calculate Adjoint map
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// Ad_pose is 3*3 matrix that when applied to twist xi, returns Ad_pose(xi)
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Matrix Pose2::AdjointMap() const {
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double c = r_.c(), s = r_.s(), x = t_.x(), y = t_.y();
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return Matrix_(3,3,
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c, -s, y,
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s, c, -x,
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0.0, 0.0, 1.0
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);
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}
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/* ************************************************************************* */
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Pose2 Pose2::inverse(boost::optional<Matrix&> H1) const {
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if (H1) *H1 = -AdjointMap();
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return Pose2(r_.inverse(), r_.unrotate(Point2(-t_.x(), -t_.y())));
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}
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/* ************************************************************************* */
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// see doc/math.lyx, SE(2) section
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Point2 Pose2::transform_to(const Point2& point,
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boost::optional<Matrix&> H1, boost::optional<Matrix&> H2) const {
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Point2 d = point - t_;
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Point2 q = r_.unrotate(d);
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if (!H1 && !H2) return q;
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if (H1) *H1 = Matrix_(2, 3,
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-1.0, 0.0, q.y(),
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0.0, -1.0, -q.x());
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if (H2) *H2 = r_.transpose();
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return q;
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}
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/* ************************************************************************* */
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// see doc/math.lyx, SE(2) section
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Pose2 Pose2::compose(const Pose2& p2, boost::optional<Matrix&> H1,
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boost::optional<Matrix&> H2) const {
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// TODO: inline and reuse?
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if(H1) *H1 = p2.inverse().AdjointMap();
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if(H2) *H2 = I3;
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return (*this)*p2;
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}
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/* ************************************************************************* */
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// see doc/math.lyx, SE(2) section
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Point2 Pose2::transform_from(const Point2& p,
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boost::optional<Matrix&> H1, boost::optional<Matrix&> H2) const {
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const Point2 q = r_ * p;
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if (H1 || H2) {
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const Matrix R = r_.matrix();
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const Matrix Drotate1 = Matrix_(2, 1, -q.y(), q.x());
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if (H1) *H1 = collect(2, &R, &Drotate1); // [R R_{pi/2}q]
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if (H2) *H2 = R; // R
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}
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return q + t_;
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}
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/* ************************************************************************* */
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Pose2 Pose2::between(const Pose2& p2, boost::optional<Matrix&> H1,
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boost::optional<Matrix&> H2) const {
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// get cosines and sines from rotation matrices
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const Rot2& R1 = r_, R2 = p2.r();
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double c1=R1.c(), s1=R1.s(), c2=R2.c(), s2=R2.s();
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// Calculate delta rotation = between(R1,R2)
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double c = c1 * c2 + s1 * s2, s = -s1 * c2 + c1 * s2;
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Rot2 R(Rot2::atan2(s,c)); // normalizes
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// Calculate delta translation = unrotate(R1, dt);
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Point2 dt = p2.t() - t_;
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double x = dt.x(), y = dt.y();
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Point2 t(c1 * x + s1 * y, -s1 * x + c1 * y);
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// FD: This is just -AdjointMap(between(p2,p1)) inlined and re-using above
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if (H1) {
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double dt1 = -s2 * x + c2 * y;
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double dt2 = -c2 * x - s2 * y;
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H1->resize(3,3);
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double data[9] = {
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-c, -s, dt1,
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s, -c, dt2,
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0.0, 0.0, -1.0};
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copy(data, data+9, H1->data().begin());
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}
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if (H2) *H2 = I3;
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return Pose2(R,t);
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}
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/* ************************************************************************* */
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Rot2 Pose2::bearing(const Point2& point,
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boost::optional<Matrix&> H1, boost::optional<Matrix&> H2) const {
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Point2 d = transform_to(point, H1, H2);
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if (!H1 && !H2) return Rot2::relativeBearing(d);
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Matrix D_result_d;
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Rot2 result = Rot2::relativeBearing(d, D_result_d);
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if (H1) *H1 = D_result_d * (*H1);
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if (H2) *H2 = D_result_d * (*H2);
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return result;
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}
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/* ************************************************************************* */
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double Pose2::range(const Point2& point,
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boost::optional<Matrix&> H1, boost::optional<Matrix&> H2) const {
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if (!H1 && !H2) return transform_to(point).norm();
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Point2 d = transform_to(point, H1, H2);
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double x = d.x(), y = d.y(), d2 = x * x + y * y, n = sqrt(d2);
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Matrix D_result_d = Matrix_(1, 2, x / n, y / n);
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if (H1) *H1 = D_result_d * (*H1);
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if (H2) *H2 = D_result_d * (*H2);
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return n;
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}
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/* *************************************************************************
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* New explanation, from scan.ml
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* It finds the angle using a linear method:
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* q = Pose2::transform_from(p) = t + R*p
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* We need to remove the centroids from the data to find the rotation
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* using dp=[dpx;dpy] and q=[dqx;dqy] we have
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* |dqx| |c -s| |dpx| |dpx -dpy| |c|
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* | | = | | * | | = | | * | | = H_i*cs
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* |dqy| |s c| |dpy| |dpy dpx| |s|
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* where the Hi are the 2*2 matrices. Then we will minimize the criterion
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* J = \sum_i norm(q_i - H_i * cs)
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* Taking the derivative with respect to cs and setting to zero we have
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* cs = (\sum_i H_i' * q_i)/(\sum H_i'*H_i)
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* The hessian is diagonal and just divides by a constant, but this
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* normalization constant is irrelevant, since we take atan2.
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* i.e., cos ~ sum(dpx*dqx + dpy*dqy) and sin ~ sum(-dpy*dqx + dpx*dqy)
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* The translation is then found from the centroids
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* as they also satisfy cq = t + R*cp, hence t = cq - R*cp
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*/
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boost::optional<Pose2> align(const vector<Point2Pair>& pairs) {
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size_t n = pairs.size();
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if (n<2) return boost::none; // we need at least two pairs
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// calculate centroids
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Point2 cp,cq;
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BOOST_FOREACH(const Point2Pair& pair, pairs) {
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cp += pair.first;
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cq += pair.second;
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}
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double f = 1.0/n;
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cp *= f; cq *= f;
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// calculate cos and sin
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double c=0,s=0;
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BOOST_FOREACH(const Point2Pair& pair, pairs) {
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Point2 dq = pair.first - cp;
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Point2 dp = pair.second - cq;
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c += dp.x() * dq.x() + dp.y() * dq.y();
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s += dp.y() * dq.x() - dp.x() * dq.y(); // this works but is negative from formula above !! :-(
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}
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// calculate angle and translation
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double theta = atan2(s,c);
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Rot2 R = Rot2::fromAngle(theta);
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Point2 t = cq - R*cp;
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return Pose2(R, t);
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}
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/* ************************************************************************* */
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} // namespace gtsam
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