void doArcball(
double * _viewMatrix,
double const * _rotationCenter,
double const * _projectionMatrix,
double const * _initialViewMatrix,
//double const * _currentViewMatrix,
double const * _initialMouse,
double const * _currentMouse,
bool screenSpaceRadius,
double radius)
{
Eigen::Map<Eigen::Vector3d const> rotationCenter(_rotationCenter);
Eigen::Map<Eigen::Matrix4d const> initialViewMatrix(_initialViewMatrix);
//Eigen::Map<Eigen::Matrix4d const> currentViewMatrix(_currentViewMatrix);
Eigen::Map<Eigen::Matrix4d const> projectionMatrix(_projectionMatrix);
Eigen::Map<Eigen::Matrix4d> viewMatrix(_viewMatrix);
Eigen::Vector2d initialMouse(_initialMouse);
Eigen::Vector2d currentMouse(_currentMouse);
Eigen::Quaterniond q;
Eigen::Vector3d Pa, Pc;
if (screenSpaceRadius) {
double aspectRatio = projectionMatrix(1, 1) / projectionMatrix(0, 0);
initialMouse(0) *= aspectRatio;
currentMouse(0) *= aspectRatio;
Pa = mapToSphere(initialMouse, radius);
Pc = mapToSphere(currentMouse, radius);
q.setFromTwoVectors(Pa - rotationCenter, Pc - rotationCenter);
}
else {
Pa = mapToSphere(projectionMatrix.inverse(), initialMouse, rotationCenter, radius);
Pc = mapToSphere(projectionMatrix.inverse(), currentMouse, rotationCenter, radius);
Eigen::Vector3d a = Pa - rotationCenter, b = Pc - rotationCenter;
#if 0
std::cout << "Mouse Initial Radius = " << sqrt(a.dot(a)) << " Current Radius = " << sqrt(b.dot(b)) << std::endl;
#endif
q.setFromTwoVectors(a, b);
}
Eigen::Matrix4d qMat4;
qMat4.setIdentity();
qMat4.topLeftCorner<3, 3>() = q.toRotationMatrix();
Eigen::Matrix4d translate;
translate.setIdentity();
translate.topRightCorner<3, 1>() = -rotationCenter;
Eigen::Matrix4d invTranslate;
invTranslate.setIdentity();
invTranslate.topRightCorner<3, 1>() = rotationCenter;
viewMatrix = invTranslate * qMat4 * translate * initialViewMatrix;
}
/* ********************************************************************************************* */
TEST(UTILS, ROTATION) {
using namespace dart;
using namespace math;
// Create Initial ExpMap
Eigen::Vector3d axis(2.0, 1.0, 1.0);
axis.normalize();
double angle = 1.2;
EXPECT_DOUBLE_EQ(axis.norm(), 1.0);
Eigen::Vector3d expmap = axis * angle;
// Test conversion between expmap and quaternion
Eigen::Quaterniond q = expToQuat(expmap);
Eigen::Vector3d expmap2 = quatToExp(q);
EXPECT_NEAR((expmap - expmap2).norm(), 0.0, DART_EPSILON)
<< "Orig: " << expmap << " Reconstructed: " << expmap2;
// Test conversion between matrix and euler
Eigen::Matrix3d m = q.toRotationMatrix();
Eigen::Vector3d e = matrixToEulerXYZ(m);
Eigen::Matrix3d m2 = eulerXYZToMatrix(e);
EXPECT_NEAR((m - m2).norm(), 0.0, DART_EPSILON)
<< "Orig: " << m << " Reconstructed: " << m2;
}
void BaseReferenceFrame::deserialize(ObjectData& data, IdContext& context){
Identifiable::deserialize(data,context);
Eigen::Quaterniond q;
q.coeffs().fromBOSS(data,"rotation");
_transform.translation().fromBOSS(data,"translation");
_transform.linear()=q.toRotationMatrix();
}
bool RosMessageContext::getOdomPose(Eigen::Isometry3d& _trans, double time){
bool transformFound = true;
_tfListener->waitForTransform(_odomReferenceFrameId, _baseReferenceFrameId,
ros::Time(time), ros::Duration(1.0));
try{
tf::StampedTransform t;
_tfListener->lookupTransform(_odomReferenceFrameId, _baseReferenceFrameId,
ros::Time(time), t);
Eigen::Isometry3d transform;
transform.translation().x()=t.getOrigin().x();
transform.translation().y()=t.getOrigin().y();
transform.translation().z()=t.getOrigin().z();
Eigen::Quaterniond rot;
rot.x()=t.getRotation().x();
rot.y()=t.getRotation().y();
rot.z()=t.getRotation().z();
rot.w()=t.getRotation().w();
transform.linear()=rot.toRotationMatrix();
_trans = transform;
transformFound = true;
}
catch (tf::TransformException ex){
ROS_ERROR("%s",ex.what());
transformFound = false;
}
return transformFound;
}
void rotate(const Eigen::Quaterniond& qrot)
{
Eigen::Matrix3d rotmat = qrot.toRotationMatrix();
for (unsigned int i = 0; i < points.size(); i++)
{
points[i].head<3>() = rotmat*points[i].head<3>();
}
normal = rotmat*normal;
}
void UpperBodyPlanner::msgPose2Eigen(const geometry_msgs::Pose& input, Eigen::Vector3d& translation, Eigen::Matrix3d& rotation) {
translation(0) = input.position.x;
translation(1) = input.position.y;
translation(2) = input.position.z;
Eigen::Quaterniond convert;
convert.w() = input.orientation.w;
convert.x() = input.orientation.x;
convert.y() = input.orientation.y;
convert.z() = input.orientation.z;
rotation = convert.toRotationMatrix();
}
void robot_state::Transforms::setTransform(const geometry_msgs::TransformStamped &transform)
{
if (transform.child_frame_id.rfind(target_frame_) == transform.child_frame_id.length() - target_frame_.length())
{
Eigen::Translation3d o(transform.transform.translation.x, transform.transform.translation.y, transform.transform.translation.z);
Eigen::Quaterniond q;
tf::quaternionMsgToEigen(transform.transform.rotation, q);
setTransform(Eigen::Affine3d(o*q.toRotationMatrix()), transform.header.frame_id);
} else {
logError("Given transform is to frame '%s', but frame '%s' was expected.", transform.child_frame_id.c_str(), target_frame_.c_str());
}
}
void create_data(Eigen::MatrixXd &pa, Eigen::MatrixXd &pb) {
int n_data = 7;
Eigen::MatrixXd pa0(3, n_data);
Eigen::MatrixXd pb0(3, n_data);
pb0 << -0.7045189014502934,0.31652495664145264,-0.8913587885243552,0.4196143278053829,0.33125081405575785,-1.148712511573519,-0.7211957446166447,-0.4204243223315903,-0.8922857301575797,0.41556308950696674,-0.36760757371251074,-1.1630155401570457,-0.12535642300333297,0.26708755761917147,1.5095344824450356,0.9968448409012386,0.27593113974268946,1.2189108175890786,-0.28095118914331707,-0.40276257201497045,1.3669272703783852;
Eigen::Quaterniond q = Eigen::Quaterniond(2.86073, 0.0378363, 3.59752, 0.4211619).normalized();
std::cout << "groundtruth-quaternion. w: " << q.w() << " x " << q.x() << " y: " << q.y() << " z " << q.z() << std::endl;
pa = q.toRotationMatrix()*pb0;
pb = pb0;
}
void planning_models::Transforms::setTransform(const geometry_msgs::TransformStamped &transform)
{
if (transform.child_frame_id.rfind(target_frame_) == transform.child_frame_id.length() - target_frame_.length())
{
Eigen::Translation3d o(transform.transform.translation.x, transform.transform.translation.y, transform.transform.translation.z);
Eigen::Quaterniond q;
quatFromMsg(transform.transform.rotation, q);
setTransform(Eigen::Affine3d(o*q.toRotationMatrix()), transform.header.frame_id);
} else {
ROS_ERROR("Given transform is to frame '%s', but frame '%s' was expected.", transform.child_frame_id.c_str(), target_frame_.c_str());
}
}
double
Camera::reprojectionError(const Eigen::Vector3d& P,
const Eigen::Quaterniond& camera_q,
const Eigen::Vector3d& camera_t,
const Eigen::Vector2d& observed_p) const
{
Eigen::Vector3d P_cam = camera_q.toRotationMatrix() * P + camera_t;
Eigen::Vector2d p;
spaceToPlane(P_cam, p);
return (p - observed_p).norm();
}
void rosSpin() {
double dt;
Eigen::Vector3d t(0.0, 0.0, 0.0);
Eigen::Vector3d t_new(0.0, 0.0, 0.0);
Eigen::Vector3d t_vel(0.0, 0.0, 0.0);
Eigen::Vector3d t_imu(0.0, 0.0, 0.0);
Eigen::Vector3d t_arm(-0.19, 0.0, 0.02);
Eigen::Quaterniond q_imu;
ros::Rate rate(15);
ros::Time time_prev, time_now;
time_prev = ros::Time::now();
while(ros::ok()) {
ros::spinOnce();
time_now = ros::Time::now();
dt = (time_now - time_prev).toSec();
time_prev = time_now;
// Compute Rotation
q_imu = w_imu.getQuaternionForAngularChange(dt);
q = q * q_imu;
// Compute Translation
t_imu = v_wheel.getRotationArm()*v_wheel.getTranslation() - q_imu.toRotationMatrix()*t_arm + t_arm;
t_new = t + q.toRotationMatrix()*t_imu;
t_vel = (t_new - t)/dt;
t = t_new;
setPose(t, q, t_new);
pub_data.publish(odometry);
rate.sleep();
}
};
void update_arrows() {
geometry_msgs::Point origin, arrow_x_tip, arrow_y_tip, arrow_z_tip;
Eigen::Matrix3d R;
Eigen::Quaterniond quat;
quat.x() = g_stamped_pose.pose.orientation.x;
quat.y() = g_stamped_pose.pose.orientation.y;
quat.z() = g_stamped_pose.pose.orientation.z;
quat.w() = g_stamped_pose.pose.orientation.w;
R = quat.toRotationMatrix();
Eigen::Vector3d x_vec, y_vec, z_vec;
double veclen = 0.2; //make the arrows this long
x_vec = R.col(0) * veclen;
y_vec = R.col(1) * veclen;
z_vec = R.col(2) * veclen;
//update the arrow markers w/ new pose:
origin = g_stamped_pose.pose.position;
arrow_x_tip = origin;
arrow_x_tip.x += x_vec(0);
arrow_x_tip.y += x_vec(1);
arrow_x_tip.z += x_vec(2);
arrow_marker_x.points.clear();
arrow_marker_x.points.push_back(origin);
arrow_marker_x.points.push_back(arrow_x_tip);
arrow_marker_x.header = g_stamped_pose.header;
arrow_y_tip = origin;
arrow_y_tip.x += y_vec(0);
arrow_y_tip.y += y_vec(1);
arrow_y_tip.z += y_vec(2);
arrow_marker_y.points.clear();
arrow_marker_y.points.push_back(origin);
arrow_marker_y.points.push_back(arrow_y_tip);
arrow_marker_y.header = g_stamped_pose.header;
arrow_z_tip = origin;
arrow_z_tip.x += z_vec(0);
arrow_z_tip.y += z_vec(1);
arrow_z_tip.z += z_vec(2);
arrow_marker_z.points.clear();
arrow_marker_z.points.push_back(origin);
arrow_marker_z.points.push_back(arrow_z_tip);
arrow_marker_z.header = g_stamped_pose.header;
}
int main() {
//-> create and fill synthetic data
int n_params = 7;
Eigen::VectorXd u(n_params);
Eigen::MatrixXd pa, pb;
create_data(pa, pb);
// <-
// -> cost function
CMAES::cost_type fcost = [&](double *params, int n_params) {
Eigen::Quaterniond q = Eigen::Quaterniond(params[0], params[1], params[2], params[3]).normalized();
Eigen::Vector3d s = Eigen::Vector3d(params[4], params[5], params[6]).cwiseAbs();
params[0] = q.w();
params[1] = q.x();
params[2] = q.y();
params[3] = q.z();
params[4] = s(0);
params[5] = s(1);
params[6] = s(2);
Eigen::Matrix3d rotation = q.toRotationMatrix();
Eigen::Matrix3d scale = s.asDiagonal();
Eigen::MatrixXd y = rotation*scale*pa;
double cost = (pb - y).squaredNorm();
return cost;
};
CMAES::Engine cmaes;
Eigen::VectorXd x0(n_params);
x0 << 1, 0, 0, 0, 1, 1, 1;
double c = fcost(x0.data(), n_params);
std::cout << "x0: " << x0.transpose() << " fcost(x0): " << c << std::endl;
double sigma0 = 1;
Solution sol = cmaes.fmin(x0, n_params, sigma0, 6, 999, fcost);
std::cout << "\nf_best: " << sol.f << "\nparams_best: " << sol.params.transpose() << std::endl;
return 0;
}
void compRollPitchCloud(pcl::PointCloud<PointXYZGD>::Ptr & cloud, double roll, double pitch)
{
//map to points from perspective of body frame
Eigen::Matrix4f trans;
#ifdef USE_QUATS
trans.block(0,0,3,3) << curQuat.toRotationMatrix().cast<float>();
trans(3,3) = 1;
#else
trans << cos(roll), 0, sin(roll), 0,
sin(roll)*sin(pitch), cos(pitch), -cos(roll)*sin(pitch), 0,
-cos(pitch)*sin(roll), sin(pitch), cos(roll)*cos(pitch), 0,
0, 0, 0, 1;
#endif
//TODO: add translation
//cout << trans << endl << endl;
pcl::transformPointCloud(*cloud, *cloud_temp, trans);
*cloud = *cloud_temp;
}
void laserOdometryHandler(const nav_msgs::Odometry::ConstPtr& laserOdometry)
{
//timeLaserOdometry = laserOdometry->header.stamp.toSec();
double transformSum[6];
double roll, pitch, yaw;
geometry_msgs::Quaternion geoQuat = laserOdometry->pose.pose.orientation;
//tf::Matrix3x3(tf::Quaternion(geoQuat.z, -geoQuat.x, -geoQuat.y, geoQuat.w)).getRPY(roll, pitch, yaw);
// Get 4x4 Roation Matrix
Eigen::Quaterniond eigenQuat = Eigen::Quaternion<double>(geoQuat.w, geoQuat.x, geoQuat.y, geoQuat.z);
Eigen::Matrix3d eigenRot = eigenQuat.toRotationMatrix();
Eigen::Matrix4d eigenRot4 = Eigen::Matrix4d::Identity();
eigenRot4(0,0) = eigenRot(0,0);
eigenRot4(1,0) = eigenRot(2,0);
eigenRot4(2,0) = eigenRot(2,0);
eigenRot4(0,1) = eigenRot(0,1);
eigenRot4(1,1) = eigenRot(2,1);
eigenRot4(2,1) = eigenRot(2,1);
eigenRot4(0,2) = eigenRot(0,2);
eigenRot4(1,2) = eigenRot(2,2);
eigenRot4(2,2) = eigenRot(2,2);
// Get translation matrix
Eigen::Affine3d trans(Eigen::Translation3d(
laserOdometry->pose.pose.position.x,
laserOdometry->pose.pose.position.y,
laserOdometry->pose.pose.position.z));
sensorTransform = trans.matrix();
sensorTransform *= eigenRot4;
ROS_INFO_STREAM(sensorTransform);
}
// translate kpts by 6DOF transformation of frame
void Frame::setTKpts(Eigen::Vector4d trans, Eigen::Quaterniond rot)
{
Vector3d tr;
tr = trans.head<3>();
// set up 3x4 transformation from kpt+disp to kpt
Matrix4d Q;
Q << 1.0, 0.0, 0.0, -cam.cx, // fy should enter in here somewhere...
0.0, 1.0, 0.0, -cam.cy,
0.0, 0.0, 0.0, cam.fx,
0.0, 0.0, 1.0/cam.tx, 0;
Matrix<double,3,4> P;
P << cam.fx, 0.0, cam.cx, 0.0,
0.0, cam.fx, cam.cy, 0.0,
0.0, 0.0, 1.0, 0.0;
// 3D point transform - inverse of frame motion
Matrix4d T;
T.setZero();
Matrix3d R = rot.toRotationMatrix();
T.block<3,3>(0,0) = R.transpose();
T.block<3,1>(0,3) = -R*tr;
T(3,3) = 1.0;
P = P*T*Q;
// go through points and set up transformed ones
tkpts.resize(kpts.size());
Vector4d v(0.0,0.0,0.0,1.0);
for (int i=0; i<(int)kpts.size(); i++)
{
Vector3d vk;
v(0) = kpts[i].pt.x;
v(1) = kpts[i].pt.y;
v(2) = disps[i];
vk = P*v;
tkpts[i].pt.x = vk(0)/vk(2);
tkpts[i].pt.y = vk(1)/vk(2);
}
}
Eigen::Matrix4d state2Matrix(state s) {
// take a state and return the equivalent 4x4 homogeneous transformation matrix
Eigen::Matrix4d mat = Eigen::Matrix4d::Zero();
// rotation part
Eigen::Quaterniond q;
q.x() = s.qx;
q.y() = s.qy;
q.z() = s.qz;
q.w() = s.qw;
q.normalize();
Eigen::Matrix3d rot = q.toRotationMatrix();
mat.block<3, 3>(0, 0) = rot;
// translation part
Eigen::Vector3d t;
t[0] = s.x;
t[1] = s.y;
t[2] = s.z;
mat.block<3, 1>(0, 3) = t;
// homogeneous
mat(3, 3) = 1;
return mat;
}
Eigen::MatrixXd MainWindow::quaternion2rpy( Eigen::Quaterniond quaternion )
{
Eigen::MatrixXd _rpy = rotation2rpy( quaternion.toRotationMatrix() );
return _rpy;
}
void PartFeatureModel::func_zeroedyi_and_dzeroedyi_by_dxp_and_dzeroedyi_by_dyi(
const Eigen::VectorXd &yi, const Eigen::VectorXd &xp)
{
// Extract cartesian and quaternion components of xp
motion_model_->func_r(xp);
motion_model_->func_q(xp);
// Extract ri and hhati components of yi = ypi
func_ri(yi);
func_hhati(yi);
// ri part: transformation is just the same as in the normal point case
// zeroedri = RRW(rWi - rW)
// ri - r
Eigen::Vector3d yWiminusrW = riRES_ - motion_model_->rRES_;
Eigen::Quaterniond qRW = motion_model_->qRES_.inverse();
Eigen::Matrix4d dqRW_by_dq = dqbar_by_dq();
// Rotation RRW
Eigen::Matrix3d RRW = qRW.toRotationMatrix();
// RRW(rWi - rW)
Eigen::Vector3d zeroedri = RRW * yWiminusrW;
// Now calculate Jacobians
// dzeroedri_by_dri is RRW
// dzeroedri_by_dhhati = 0
Eigen::Matrix3d dzeroedri_by_dri = RRW;
// dzeroedyi_by_dxp:
// dzeroedri_by_dr = -RRW
// dzeroedri_by_dq = d_dq(RRW (ri - r))
Eigen::Matrix3d dzeroedri_by_dr = RRW * -1.0;
Eigen::Matrix<double, 3, 4> dzeroedri_by_dqRW = dRq_times_a_by_dq(qRW, yWiminusrW);
Eigen::Matrix<double, 3, 4> dzeroedri_by_dq = dzeroedri_by_dqRW * dqRW_by_dq;
// Now for the hhati part (easier...)
// zeroedhhati = RRW hhati
Eigen::Vector3d zeroedhhati = RRW * hhatiRES_;
// Jacobians
// dzeroedhhati_by_dr = 0
// dzeroedhhati_by_dq = d_dq(RRW hhati)
// dzeroedhhati_by_dhhati = RRW
// dzeroedhhati_by_dri = 0
Eigen::Matrix<double, 3, 4> dzeroedhhati_by_dqRW = dRq_times_a_by_dq(qRW, hhatiRES_);
Eigen::Matrix<double, 3, 4> dzeroedhhati_by_dq = dzeroedhhati_by_dqRW * dqRW_by_dq;
Eigen::Matrix<double, 3, 3> dzeroedhhati_by_dhhati = RRW;
// And put it all together
zeroedyiRES_ << zeroedri, zeroedhhati;
dzeroedyi_by_dxpRES_.setZero();
dzeroedyi_by_dxpRES_.block(0, 0, 3, 3) = dzeroedri_by_dr;
dzeroedyi_by_dxpRES_.block(0, 3, 3, 4) = dzeroedri_by_dq;
dzeroedyi_by_dxpRES_.block(3, 3, 3, 4) = dzeroedhhati_by_dq;
dzeroedyi_by_dyiRES_.setZero();
dzeroedyi_by_dyiRES_.block(0, 0, 3, 3) = dzeroedri_by_dri;
dzeroedyi_by_dyiRES_.block(3, 3, 3, 3) = dzeroedhhati_by_dhhati;
}
Eigen::MatrixXd MainWindow::quaternion2rotation( Eigen::Quaterniond quaternion )
{
Eigen::MatrixXd _rotation = quaternion.toRotationMatrix();
return _rotation;
}
void imageCb(const sensor_msgs::ImageConstPtr& l_image,
const sensor_msgs::CameraInfoConstPtr& l_cam_info,
const sensor_msgs::ImageConstPtr& r_image,
const sensor_msgs::CameraInfoConstPtr& r_cam_info)
{
ROS_INFO("In callback, seq = %u", l_cam_info->header.seq);
// Convert ROS messages for use with OpenCV
cv::Mat left, right;
try {
left = l_bridge_.imgMsgToCv(l_image, "mono8");
right = r_bridge_.imgMsgToCv(r_image, "mono8");
}
catch (sensor_msgs::CvBridgeException& e) {
ROS_ERROR("Conversion error: %s", e.what());
return;
}
cam_model_.fromCameraInfo(l_cam_info, r_cam_info);
frame_common::CamParams cam_params;
cam_params.fx = cam_model_.left().fx();
cam_params.fy = cam_model_.left().fy();
cam_params.cx = cam_model_.left().cx();
cam_params.cy = cam_model_.left().cy();
cam_params.tx = cam_model_.baseline();
if (vslam_system_.addFrame(cam_params, left, right)) {
/// @todo Not rely on broken encapsulation of VslamSystem here
int size = vslam_system_.sba_.nodes.size();
if (size % 2 == 0) {
// publish markers
sba::drawGraph(vslam_system_.sba_, cam_marker_pub_, point_marker_pub_);
}
// Publish VO tracks
if (vo_tracks_pub_.getNumSubscribers() > 0) {
frame_common::drawVOtracks(left, vslam_system_.vo_.frames, vo_display_);
IplImage ipl = vo_display_;
sensor_msgs::ImagePtr msg = sensor_msgs::CvBridge::cvToImgMsg(&ipl);
msg->header = l_cam_info->header;
vo_tracks_pub_.publish(msg, l_cam_info);
}
// Refine large-scale SBA.
const int LARGE_SBA_INTERVAL = 10;
if (size > 4 && size % LARGE_SBA_INTERVAL == 0) {
ROS_INFO("Running large SBA on %d nodes", size);
vslam_system_.refine();
}
if (pointcloud_pub_.getNumSubscribers() > 0 && size % 2 == 0)
publishRegisteredPointclouds(vslam_system_.sba_, vslam_system_.frames_, pointcloud_pub_);
// Publish odometry data to tf.
if (0) // TODO: Change this to parameter.
{
ros::Time stamp = l_cam_info->header.stamp;
std::string image_frame = l_cam_info->header.frame_id;
Eigen::Vector4d trans = -vslam_system_.sba_.nodes.back().trans;
Eigen::Quaterniond rot = vslam_system_.sba_.nodes.back().qrot.conjugate();
trans.head<3>() = rot.toRotationMatrix()*trans.head<3>();
tf_transform_.setOrigin(tf::Vector3(trans(0), trans(1), trans(2)));
tf_transform_.setRotation(tf::Quaternion(rot.x(), rot.y(), rot.z(), rot.w()) );
tf::Transform simple_transform;
simple_transform.setOrigin(tf::Vector3(0, 0, 0));
simple_transform.setRotation(tf::Quaternion(.5, -.5, .5, .5));
tf_broadcast_.sendTransform(tf::StampedTransform(tf_transform_, stamp, image_frame, "visual_odom"));
tf_broadcast_.sendTransform(tf::StampedTransform(simple_transform, stamp, "visual_odom", "pgraph"));
// Publish odometry data on topic.
if (odom_pub_.getNumSubscribers() > 0)
{
tf::StampedTransform base_to_image;
tf::Transform base_to_visodom;
try
{
tf_listener_.lookupTransform(image_frame, "/base_footprint",
stamp, base_to_image);
}
catch (tf::TransformException ex)
{
ROS_WARN("%s",ex.what());
return;
}
base_to_visodom = tf_transform_.inverse() * base_to_image;
geometry_msgs::PoseStamped pose;
nav_msgs::Odometry odom;
pose.header.frame_id = "/visual_odom";
pose.pose.position.x = base_to_visodom.getOrigin().x();
pose.pose.position.y = base_to_visodom.getOrigin().y();
pose.pose.position.z = base_to_visodom.getOrigin().z();
pose.pose.orientation.x = base_to_visodom.getRotation().x();
pose.pose.orientation.y = base_to_visodom.getRotation().y();
pose.pose.orientation.z = base_to_visodom.getRotation().z();
pose.pose.orientation.w = base_to_visodom.getRotation().w();
odom.header.stamp = stamp;
odom.header.frame_id = "/visual_odom";
odom.child_frame_id = "/base_footprint";
odom.pose.pose = pose.pose;
/* odom.pose.covariance[0] = 1;
odom.pose.covariance[7] = 1;
odom.pose.covariance[14] = 1;
odom.pose.covariance[21] = 1;
odom.pose.covariance[28] = 1;
odom.pose.covariance[35] = 1; */
odom_pub_.publish(odom);
}
}
}
}
bool leatherman::poseFromMsg(const geometry_msgs::Pose &tmsg, Eigen::Affine3d &t)
{
Eigen::Quaterniond q; bool r = quatFromMsg(tmsg.orientation, q);
t = Eigen::Affine3d(Eigen::Translation3d(tmsg.position.x, tmsg.position.y, tmsg.position.z)*q.toRotationMatrix());
return r;
}
Eigen::Vector3d quaternion_to_rpy(const Eigen::Quaterniond &q)
{
// YPR - ZYX
return q.toRotationMatrix().eulerAngles(2, 1, 0).reverse();
}
bool constraint_samplers::IKConstraintSampler::samplePose(Eigen::Vector3d &pos, Eigen::Quaterniond &quat,
const planning_models::KinematicState &ks,
unsigned int max_attempts)
{
if (sampling_pose_.position_constraint_)
{
const std::vector<bodies::BodyPtr> &b = sampling_pose_.position_constraint_->getConstraintRegions();
if (!b.empty())
{
bool found = false;
std::size_t k = random_number_generator_.uniformInteger(0, b.size() - 1);
for (std::size_t i = 0 ; i < b.size() ; ++i)
if (b[(i+k) % b.size()]->samplePointInside(random_number_generator_, max_attempts, pos))
{
found = true;
break;
}
if (!found)
{
ROS_ERROR("Unable to sample a point inside the constraint region");
return false;
}
}
else
{
ROS_ERROR("Unable to sample a point inside the constraint region. Constraint region is empty when it should not be.");
return false;
}
// if this constraint is with respect a mobile frame, we need to convert this rotation to the root frame of the model
if (sampling_pose_.position_constraint_->mobileReferenceFrame())
{
const planning_models::KinematicState::LinkState *ls = ks.getLinkState(sampling_pose_.position_constraint_->getReferenceFrame());
pos = ls->getGlobalLinkTransform() * pos;
}
}
else
{
// do FK for rand state
planning_models::KinematicState tempState(ks);
planning_models::KinematicState::JointStateGroup *tmp = tempState.getJointStateGroup(jmg_->getName());
if (tmp)
{
tmp->setToRandomValues();
pos = tempState.getLinkState(sampling_pose_.orientation_constraint_->getLinkModel()->getName())->getGlobalLinkTransform().translation();
}
else
{
ROS_ERROR("Passed a JointStateGroup for a mismatching JointModelGroup");
return false;
}
}
if (sampling_pose_.orientation_constraint_)
{
// sample a rotation matrix within the allowed bounds
double angle_x = 2.0 * (random_number_generator_.uniform01() - 0.5) * sampling_pose_.orientation_constraint_->getXAxisTolerance();
double angle_y = 2.0 * (random_number_generator_.uniform01() - 0.5) * sampling_pose_.orientation_constraint_->getYAxisTolerance();
double angle_z = 2.0 * (random_number_generator_.uniform01() - 0.5) * sampling_pose_.orientation_constraint_->getZAxisTolerance();
Eigen::Affine3d diff(Eigen::AngleAxisd(angle_x, Eigen::Vector3d::UnitX())
* Eigen::AngleAxisd(angle_y, Eigen::Vector3d::UnitY())
* Eigen::AngleAxisd(angle_z, Eigen::Vector3d::UnitZ()));
Eigen::Affine3d reqr(sampling_pose_.orientation_constraint_->getDesiredRotationMatrix() * diff.rotation());
quat = Eigen::Quaterniond(reqr.rotation());
// if this constraint is with respect a mobile frame, we need to convert this rotation to the root frame of the model
if (sampling_pose_.orientation_constraint_->mobileReferenceFrame())
{
const planning_models::KinematicState::LinkState *ls = ks.getLinkState(sampling_pose_.orientation_constraint_->getReferenceFrame());
Eigen::Affine3d rt(ls->getGlobalLinkTransform().rotation() * quat.toRotationMatrix());
quat = Eigen::Quaterniond(rt.rotation());
}
}
else
{
// sample a random orientation
double q[4];
random_number_generator_.quaternion(q);
quat = Eigen::Quaterniond(q[3], q[0], q[1], q[2]);
}
// if there is an offset, we need to undo the induced rotation in the sampled transform origin (point)
if (sampling_pose_.position_constraint_ && sampling_pose_.position_constraint_->hasLinkOffset())
// the rotation matrix that corresponds to the desired orientation
pos = pos - quat.toRotationMatrix() * sampling_pose_.position_constraint_->getLinkOffset();
// we now have the transform we wish to perform IK for, in the planning frame
if (transform_ik_)
{
// we need to convert this transform to the frame expected by the IK solver
// both the planning frame and the frame for the IK are assumed to be robot links
Eigen::Affine3d ikq(Eigen::Translation3d(pos) * quat.toRotationMatrix());
const planning_models::KinematicState::LinkState *ls = ks.getLinkState(ik_frame_);
ikq = ls->getGlobalLinkTransform().inverse() * ikq;
pos = ikq.translation();
quat = Eigen::Quaterniond(ikq.rotation());
}
return true;
}