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added flag to switch to original, using right null space matrix for calculation now and existing eigen function, gating restult still way to high

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This commit is contained in:
Raphael Maenle
2019-04-25 11:16:44 +02:00
parent 821d9d6f71
commit 6ba26d782d
5 changed files with 59 additions and 26 deletions
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4
include/msckf_vio/feature.hpp
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@@ -441,7 +441,7 @@ bool Feature::VisualizePatch(
float Feature::PixelIrradiance(cv::Point2f pose, cv::Mat image) const
{
return (float)image.at<uint8_t>(pose.x, pose.y);
return (float)(image.at<uint8_t>(pose.x, pose.y));
}
cv::Point2f Feature::projectPositionToCamera(
@@ -496,7 +496,7 @@ bool Feature::initializeAnchor(
//initialize patch Size
//TODO make N size a ros parameter
int N = 13;
int N = 9;
int n = (int)(N-1)/2;
auto anchor = observations.begin();

3
include/msckf_vio/msckf_vio.h
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@@ -201,6 +201,9 @@ class MsckfVio {
// Reset the system online if the uncertainty is too large.
void onlineReset();
// Photometry flag
bool PHOTOMETRIC;
// Chi squared test table.
static std::map<int, double> chi_squared_test_table;

3
launch/msckf_vio_debug_tum.launch
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@@ -18,6 +18,9 @@
output="screen"
launch-prefix="xterm -e gdb --args">
<!-- Photometry Flag-->
<param name="PHOTOMETRIC" value="true"/>
<!-- Calibration parameters -->
<rosparam command="load" file="$(arg calibration_file)"/>

3
launch/msckf_vio_tum.launch
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@@ -17,6 +17,9 @@
args='standalone msckf_vio/MsckfVioNodelet'
output="screen">
<!-- Photometry Flag-->
<param name="PHOTOMETRIC" value="true"/>
<!-- Calibration parameters -->
<rosparam command="load" file="$(arg calibration_file)"/>

72
src/msckf_vio.cpp
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@@ -27,6 +27,7 @@
#include <msckf_vio/math_utils.hpp>
#include <msckf_vio/utils.h>
using namespace std;
using namespace Eigen;
@@ -59,6 +60,10 @@ MsckfVio::MsckfVio(ros::NodeHandle& pnh):
}
bool MsckfVio::loadParameters() {
//Photometry Flag
nh.param<bool>("PHOTOMETRIC", PHOTOMETRIC, false);
// Frame id
nh.param<string>("fixed_frame_id", fixed_frame_id, "world");
nh.param<string>("child_frame_id", child_frame_id, "robot");
@@ -340,7 +345,7 @@ void MsckfVio::imageCallback(
// Augment the state vector.
start_time = ros::Time::now();
PhotometricStateAugmentation(feature_msg->header.stamp.toSec());
stateAugmentation(feature_msg->header.stamp.toSec());
double state_augmentation_time = (
ros::Time::now()-start_time).toSec();
@@ -968,7 +973,7 @@ void MsckfVio::PhotometricMeasurementJacobian(
const Vector3d& t_c0_w = cam_state.position;
//temp N
const int N = 13;
const int N = 9;
// Cam1 pose.
Matrix3d R_c0_c1 = CAMState::T_cam0_cam1.linear();
@@ -1116,7 +1121,7 @@ void MsckfVio::PhotometricFeatureJacobian(
const auto& feature = map_server[feature_id];
int N = 13;
int N = 9;
// Check how many camera states in the provided camera
// id camera has actually seen this feature.
vector<StateIDType> valid_cam_state_ids(0);
@@ -1179,12 +1184,25 @@ void MsckfVio::PhotometricFeatureJacobian(
// Project the residual and Jacobians onto the nullspace
// of H_yj.
JacobiSVD<MatrixXd> svd_helper(H_yi, ComputeFullU | ComputeThinV);
MatrixXd A = svd_helper.matrixU().rightCols(
jacobian_row_size - 3);
// get Nullspace
H_x = A.transpose() * H_xi;
r = A.transpose() * r_i;
FullPivLU<MatrixXd> lu(H_yi);
MatrixXd A_right = lu.kernel();
//FullPivLU<MatrixXd> lu2(A_right.transpose());
//MatrixXd A = lu2.kernel().transpose();
/*
JacobiSVD<MatrixXd> svd_helper(H_yi, ComputeFullU | ComputeThinV);
int null_space_size = svd_helper.matrixU().cols() - svd_helper.singularValues().size();
MatrixXd A = svd_helper.matrixU().rightCols(
jacobian_row_size-null_space_size);
*/
//H_x = A.transpose() * H_xi;
//r = A.transpose() * r_i;
H_x = H_xi * A_right;
r = r_i * A_right;
cout << "r\n" << r << endl;
cout << "Hx\n" << H_x << endl;
return;
}
@@ -1327,7 +1345,6 @@ void MsckfVio::measurementUpdate(
// complexity as in Equation (28), (29).
MatrixXd H_thin;
VectorXd r_thin;
cout << " measurement update ..." << endl;
if (H.rows() > H.cols()) {
// Convert H to a sparse matrix.
@@ -1431,8 +1448,8 @@ bool MsckfVio::gatingTest(
MatrixXd::Identity(H.rows(), H.rows());
double gamma = r.transpose() * (P1+P2).ldlt().solve(r);
//cout << dof << " " << gamma << " " <<
// chi_squared_test_table[dof] << " ";
cout << dof << " " << gamma << " " <<
chi_squared_test_table[dof] << " ";
if (gamma < chi_squared_test_table[dof]) {
//cout << "passed" << endl;
@@ -1517,7 +1534,12 @@ void MsckfVio::removeLostFeatures() {
MatrixXd H_xj;
VectorXd r_j;
PhotometricFeatureJacobian(feature.id, cam_state_ids, H_xj, r_j);
if(PHOTOMETRIC)
PhotometricFeatureJacobian(feature.id, cam_state_ids, H_xj, r_j);
else
featureJacobian(feature.id, cam_state_ids, H_xj, r_j);
if (gatingTest(H_xj, r_j, cam_state_ids.size()-1)) {
H_x.block(stack_cntr, 0, H_xj.rows(), H_xj.cols()) = H_xj;
r.segment(stack_cntr, r_j.rows()) = r_j;
@@ -1529,8 +1551,6 @@ void MsckfVio::removeLostFeatures() {
cout << "failed gating test" << endl;
}
cout << " stacked features up" << endl;
// Put an upper bound on the row size of measurement Jacobian,
// which helps guarantee the executation time.
if (stack_cntr > 1500) break;
@@ -1673,9 +1693,10 @@ void MsckfVio::pruneCamStateBuffer() {
MatrixXd H_xj;
VectorXd r_j;
cout << "getting featureJacobian...";
PhotometricFeatureJacobian(feature.id, involved_cam_state_ids, H_xj, r_j);
cout << "done" << endl;
if(PHOTOMETRIC)
PhotometricFeatureJacobian(feature.id, involved_cam_state_ids, H_xj, r_j);
else
featureJacobian(feature.id, involved_cam_state_ids, H_xj, r_j);
if (gatingTest(H_xj, r_j, involved_cam_state_ids.size())) {
H_x.block(stack_cntr, 0, H_xj.rows(), H_xj.cols()) = H_xj;
@@ -1691,19 +1712,22 @@ void MsckfVio::pruneCamStateBuffer() {
feature.observations.erase(cam_id);
}
cout << " stacked features up" << endl;
H_x.conservativeResize(stack_cntr, H_x.cols());
r.conservativeResize(stack_cntr);
// Perform measurement update.
measurementUpdate(H_x, r);
int augmentationSize = 6;
if(PHOTOMETRIC)
augmentationSize = 7;
for (const auto& cam_id : rm_cam_state_ids) {
int cam_sequence = std::distance(state_server.cam_states.begin(),
state_server.cam_states.find(cam_id));
int cam_state_start = 21 + 6*cam_sequence;
int cam_state_end = cam_state_start + 6;
int cam_state_start = 21 + augmentationSize*cam_sequence;
int cam_state_end = cam_state_start + augmentationSize;
// Remove the corresponding rows and columns in the state
// covariance matrix.
@@ -1723,10 +1747,10 @@ void MsckfVio::pruneCamStateBuffer() {
state_server.state_cov.cols()-cam_state_end);
state_server.state_cov.conservativeResize(
state_server.state_cov.rows()-6, state_server.state_cov.cols()-6);
state_server.state_cov.rows()-augmentationSize, state_server.state_cov.cols()-augmentationSize);
} else {
state_server.state_cov.conservativeResize(
state_server.state_cov.rows()-6, state_server.state_cov.cols()-6);
state_server.state_cov.rows()-augmentationSize, state_server.state_cov.cols()-augmentationSize);
}
// Remove this camera state in the state vector.