This commit is contained in:
gfuse
2021-04-12 12:43:04 +02:00
parent 651dcdfb2f
commit 56c7f23088
8 changed files with 139 additions and 20 deletions
+11 -6
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@@ -14,6 +14,8 @@ CMAKE_MINIMUM_REQUIRED (VERSION 2.8.3)
SET(CMAKE_BUILD_TYPE Release) # Release, RelWithDebInfo
SET(CMAKE_VERBOSE_MAKEFILE OFF)
SET(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH} "${PROJECT_SOURCE_DIR}/CMakeModules/")
set(CMAKE_C_STANDARD 14)
set(CMAKE_CXX_STANDARD 14)
# Set definitions
IF(TRACE)
@@ -33,7 +35,7 @@ ENDIF()
# Set build flags. Set IS_ARM on odroid board as environment variable
SET(CMAKE_CXX_FLAGS "-Wall -D_LINUX -D_REENTRANT -march=native -Wno-unused-variable -Wno-unused-but-set-variable -Wno-unknown-pragmas")
IF(DEFINED ENV{ARM_ARCHITECTURE})
SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -mfpu=neon -march=armv7-a")
SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ")
ELSE()
SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -mmmx -msse -msse -msse2 -msse3 -mssse3")
ENDIF()
@@ -50,11 +52,13 @@ FIND_PACKAGE(Eigen REQUIRED)
FIND_PACKAGE(Sophus REQUIRED)
FIND_PACKAGE(fast REQUIRED)
FIND_PACKAGE(Boost REQUIRED COMPONENTS thread system)
FIND_PACKAGE(GTSAM REQUIRED)
set(GTSAM_INCLUDE_DIRS "${GTSAM_INCLUDE_DIR}")
IF(USE_ROS)
FIND_PACKAGE(catkin REQUIRED COMPONENTS roscpp roslib cmake_modules vikit_common vikit_ros)
catkin_package(
DEPENDS Eigen OpenCV Sophus Boost fast
DEPENDS Eigen OpenCV Sophus Boost fast GTSAM
CATKIN_DEPENDS roscpp roslib vikit_common vikit_ros
INCLUDE_DIRS include
LIBRARIES svo
@@ -72,7 +76,7 @@ INCLUDE_DIRECTORIES(
${OpenCV_INCLUDE_DIRS}
${Sophus_INCLUDE_DIRS}
${Boost_INCLUDE_DIRS}
${fast_INCLUDE_DIRS}
${fast_INCLUDE_DIRS} ${GTSAM_INCLUDE_DIR}
)
# Set link libraries
@@ -82,7 +86,6 @@ LIST(APPEND LINK_LIBS
${Boost_LIBRARIES}
${fast_LIBRARIES}
)
IF(USE_ROS)
INCLUDE_DIRECTORIES(${catkin_INCLUDE_DIRS})
LIST(APPEND LINK_LIBS ${catkin_LIBRARIES})
@@ -106,7 +109,7 @@ LIST(APPEND SOURCEFILES
src/feature_detection.cpp
src/depth_filter.cpp
src/config.cpp
src/sparse_img_align.cpp)
src/sparse_img_align.cpp src/imu_integration.cpp)
# Add g2o if available
IF(HAVE_G2O)
@@ -124,7 +127,9 @@ ENDIF(HAVE_G2O)
# Create svo library
ADD_LIBRARY(svo SHARED ${SOURCEFILES})
TARGET_LINK_LIBRARIES(svo ${LINK_LIBS})
TARGET_LINK_LIBRARIES(svo ${LINK_LIBS} gtsam)
set_property(TARGET ${PROJECT_NAME} PROPERTY CXX_STANDARD 14)
set_property(TARGET ${PROJECT_NAME} PROPERTY CXX_STANDARD_REQUIRED ON)
################################################################################
# TESTS
+4 -1
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@@ -22,6 +22,7 @@
#include <svo/frame_handler_base.h>
#include <svo/reprojector.h>
#include <svo/initialization.h>
#include <svo/imu_integration.h>
namespace svo {
@@ -31,7 +32,7 @@ class FrameHandlerMono : public FrameHandlerBase
public:
EIGEN_MAKE_ALIGNED_OPERATOR_NEW
FrameHandlerMono(vk::AbstractCamera* cam);
FrameHandlerMono(vk::AbstractCamera* cam,Sophus::SE3& SE_init);
virtual ~FrameHandlerMono();
/// Provide an image.
@@ -59,6 +60,7 @@ public:
const SE3& T_kf_f,
const cv::Mat& img,
const double timestamp);
std::unique_ptr<Imu_Integration> imu_integPtr_; //Integration of IMU
protected:
vk::AbstractCamera* cam_; //!< Camera model, can be ATAN, Pinhole or Ocam (see vikit).
@@ -70,6 +72,7 @@ protected:
initialization::KltHomographyInit klt_homography_init_; //!< Used to estimate pose of the first two keyframes by estimating a homography.
DepthFilter* depth_filter_; //!< Depth estimation algorithm runs in a parallel thread and is used to initialize new 3D points.
/// Initialize the visual odometry algorithm.
virtual void initialize();
+39
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@@ -0,0 +1,39 @@
//
// Created by gufe on 4/9/21.
//
#ifndef SVO_IMU_INTEGRATION_H
#define SVO_IMU_INTEGRATION_H
#include <gtsam/navigation/CombinedImuFactor.h>
#include <gtsam/navigation/ImuFactor.h>
#include <gtsam/nonlinear/NonlinearFactorGraph.h>
#include <gtsam/slam/BetweenFactor.h>
#include <gtsam/nonlinear/ISAM2.h>
#include <gtsam/nonlinear/LevenbergMarquardtOptimizer.h>
#include <gtsam/navigation/ImuBias.h>
#include <gtsam/inference/Symbol.h>
#include <sophus/se3.h>
#include <svo/frame.h>
using gtsam::symbol_shorthand::B; // Bias (ax,ay,az,gx,gy,gz)
using gtsam::symbol_shorthand::V; // Vel (xdot,ydot,zdot)
using gtsam::symbol_shorthand::P; // Pose3 (x,y,z,r,p,y)
class Imu_Integration{
public:
Imu_Integration(Sophus::SE3& SE_init);
~Imu_Integration();
bool reset();
bool update(float* imu= nullptr);
bool predict(boost::shared_ptr<svo::Frame>&,std::size_t&);
private:
std::shared_ptr<gtsam::NavState> statePtr;
std::shared_ptr<gtsam::imuBias::ConstantBias> imu_biasPtr;
std::unique_ptr<gtsam::Values> valuesPtr;
std::unique_ptr<gtsam::NonlinearFactorGraph> graphPtr;
boost::shared_ptr<gtsam::PreintegratedCombinedMeasurements::Params> parameterPtr;
std::shared_ptr<gtsam::PreintegrationType> preintegratedPtr;
std::uint32_t t_1=1e-18;
std::uint32_t imu_factor_id=0;
};
#endif //SVO_IMU_INTEGRATION_H
+6 -1
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@@ -30,13 +30,14 @@
namespace svo {
FrameHandlerMono::FrameHandlerMono(vk::AbstractCamera* cam) :
FrameHandlerMono::FrameHandlerMono(vk::AbstractCamera* cam,Sophus::SE3& SE_init) :
FrameHandlerBase(),
cam_(cam),
reprojector_(cam_, map_),
depth_filter_(NULL)
{
initialize();
imu_integPtr_=std::make_unique<Imu_Integration>(SE_init);
}
void FrameHandlerMono::initialize()
@@ -159,6 +160,9 @@ FrameHandlerBase::UpdateResult FrameHandlerMono::processFrame()
// pose optimization subject to change for adding IMU
SVO_START_TIMER("pose_optimizer");
size_t sfba_n_edges_final;
if(!imu_integPtr_->predict(new_frame_,sfba_n_edges_final))
return RESULT_FAILURE;
/*
double sfba_thresh, sfba_error_init, sfba_error_final;
pose_optimizer::optimizeGaussNewton(
Config::poseOptimThresh(), Config::poseOptimNumIter(), false,
@@ -167,6 +171,7 @@ FrameHandlerBase::UpdateResult FrameHandlerMono::processFrame()
SVO_LOG4(sfba_thresh, sfba_error_init, sfba_error_final, sfba_n_edges_final);
SVO_DEBUG_STREAM("PoseOptimizer:\t ErrInit = "<<sfba_error_init<<"px\t thresh = "<<sfba_thresh);
SVO_DEBUG_STREAM("PoseOptimizer:\t ErrFin. = "<<sfba_error_final<<"px\t nObsFin. = "<<sfba_n_edges_final);
*/
if(sfba_n_edges_final < 20)
return RESULT_FAILURE;
+58
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@@ -0,0 +1,58 @@
//
// Created by gfuse on 4/9/21.
//
//#define NDEBUG
#include "svo/imu_integration.h"
#include <memory>
#include <utility>
Imu_Integration::Imu_Integration(Sophus::SE3& SE_init){
statePtr=std::make_shared<gtsam::NavState>(gtsam::Pose3(gtsam::Rot3(SE_init.rotation_matrix()),SE_init.translation()),
gtsam::Vector3(0.0,0.0,0.0));
imu_biasPtr=std::make_shared<gtsam::imuBias::ConstantBias>();
valuesPtr=std::make_unique<gtsam::Values>();
valuesPtr->insert(P(0),statePtr->pose());
valuesPtr->insert(V(0),statePtr->v());
valuesPtr->insert(B(0),*imu_biasPtr.get());
graphPtr=std::make_unique<gtsam::NonlinearFactorGraph>();
graphPtr->addPrior(P(0),statePtr->pose(),gtsam::noiseModel::Diagonal::Sigmas((gtsam::Vector(6) << 0.01, 0.01, 0.01, 0.5, 0.5, 0.5).finished()));
graphPtr->addPrior(V(0),statePtr->v(),gtsam::noiseModel::Isotropic::Sigma(3, 0.1));
graphPtr->addPrior(B(0),*imu_biasPtr.get(),gtsam::noiseModel::Isotropic::Sigma(6, 1e-3));
parameterPtr = gtsam::PreintegratedCombinedMeasurements::Params::MakeSharedD();
parameterPtr->accelerometerCovariance=gtsam::I_3x3 * pow(0.0003924, 2); // acc white noise in continuous
parameterPtr->gyroscopeCovariance=gtsam::I_3x3 * pow(0.00020568902491,2); // gyro white noise in continuous
parameterPtr->integrationCovariance=gtsam::I_3x3 * 1e-8; // integration uncertainty continuous
// PreintegrationCombinedMeasurements params:
parameterPtr->biasAccCovariance = gtsam::I_3x3 * pow(0.004905, 2);; // acc bias in continuous
parameterPtr->biasOmegaCovariance = gtsam::I_3x3 * pow(0.000001454441043, 2); // gyro bias in continuous
parameterPtr->biasAccOmegaInt = gtsam::I_6x6 * 1e-5; // error in the bias used for preintegration
preintegratedPtr = std::make_shared<gtsam::PreintegrationType>(parameterPtr,*imu_biasPtr.get());
assert(preintegratedPtr);
}
Imu_Integration::~Imu_Integration(){
}
bool Imu_Integration::update(float* imu){
if(t_1<1e-4){
preintegratedPtr->integrateMeasurement(Eigen::Vector3d(imu[0],imu[1],imu[2]),Eigen::Vector3d(imu[3],imu[4],imu[5]),0.005);
t_1=imu[6];
}else{
preintegratedPtr->integrateMeasurement(Eigen::Vector3d(imu[0],imu[1],imu[2]),Eigen::Vector3d(imu[3],imu[4],imu[5]),imu[6]-t_1);
t_1=imu[6];
}
return true;
}
bool Imu_Integration::reset(){
preintegratedPtr->resetIntegrationAndSetBias(*imu_biasPtr.get());
return true;
}
bool Imu_Integration::predict(boost::shared_ptr<svo::Frame>& new_frame,std::size_t& num_obs){
// Adding IMU factor and GPS factor and optimizing.
auto preint_imu_combined =dynamic_cast<const gtsam::PreintegratedCombinedMeasurements&>(*preintegratedPtr);
++imu_factor_id;
gtsam::CombinedImuFactor imu_factor(P(imu_factor_id - 1), V(imu_factor_id - 1), P(imu_factor_id), V(imu_factor_id), B(imu_factor_id - 1), B(imu_factor_id),
preint_imu_combined);
graphPtr->add(imu_factor);
if(!reset())return false;
return true;
}
+1
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@@ -49,6 +49,7 @@ void optimizeGaussNewton(
{
if((*it)->point == NULL)
continue;
//Reprojection error
Vector2d e = vk::project2d((*it)->f)
- vk::project2d(frame->T_f_w_ * (*it)->point->pos_);
e *= 1.0 / (1<<(*it)->level);
+2 -1
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@@ -4,6 +4,7 @@
<!-- Camera topic to subscribe to -->
<param name="cam_topic" value="/camera/image_raw" type="str" />
<param name="imu_topic" value="/SensorNode/imu" type="str" />
<!-- Camera calibration file -->
<rosparam file="$(find vio_svo)/param/camera_atan.yaml" />
@@ -18,4 +19,4 @@
</node>
</launch>
</launch>
+18 -11
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@@ -30,6 +30,7 @@
#include <vikit/abstract_camera.h>
#include <vikit/camera_loader.h>
#include <vikit/user_input_thread.h>
#include <svo/frame.h>
namespace svo {
@@ -44,12 +45,12 @@ public:
vk::AbstractCamera* cam_;
FILE* logtime;
bool quit_;
boost::thread* vio_th;
boost::thread* imu_th;
VoNode();
~VoNode();
void imgCb(const sensor_msgs::ImageConstPtr& msg);
void imuCb(const sensor_msgs::ImuPtr& imu);
void vio();
void imu();
};
VoNode::VoNode() :
@@ -70,10 +71,10 @@ VoNode::VoNode() :
vk::getParam<double>("vio/init_ty", 0.0),
vk::getParam<double>("vio/init_tz", 0.0)));
// Init VO and start
vo_ = new svo::FrameHandlerMono(cam_);
vo_ = new svo::FrameHandlerMono(cam_,visualizer_.T_world_from_vision_);
vo_->start();
logtime = fopen((std::string(getenv("HOME"))+"/Project/time.txt").c_str(), "w+");
vio_th=new boost::thread(&VoNode::vio,this);
imu_th=new boost::thread(&VoNode::imu,this);
logtime = fopen((std::string(getenv("HOME"))+"/Project/time.txt").c_str(), "w+");
}
@@ -81,8 +82,8 @@ VoNode::~VoNode()
{
quit_=true;
fclose(logtime);
vio_th->join();
delete vio_th;
imu_th->join();
delete imu_th;
delete logtime;
delete vo_;
delete cam_;
@@ -91,7 +92,6 @@ VoNode::~VoNode()
void VoNode::imgCb(const sensor_msgs::ImageConstPtr& msg)
{
try {
ROS_INFO("image back");
auto start=std::chrono::steady_clock::now();
cv::Mat img=cv_bridge::toCvShare(msg, "mono8")->image;
vo_->addImage(img, msg->header.stamp.toSec());
@@ -107,9 +107,17 @@ void VoNode::imgCb(const sensor_msgs::ImageConstPtr& msg)
}
}
void VoNode::imuCb(const sensor_msgs::ImuPtr &imu) {
ROS_INFO("imu back");
float imu_in[7];
imu_in[0] = imu->angular_velocity.x;
imu_in[1] = imu->angular_velocity.y;
imu_in[2] = imu->angular_velocity.z;
imu_in[3] = imu->linear_acceleration.x;
imu_in[4] = imu->linear_acceleration.y;
imu_in[5] = imu->linear_acceleration.z;
imu_in[6] = imu->header.stamp.sec;
vo_->imu_integPtr_->update(imu_in);
}
void VoNode::vio(){
void VoNode::imu(){
ros::NodeHandle nh;
std::cout << "create vo_node" << std::endl;
// subscribe to cam msgs
@@ -119,7 +127,6 @@ void VoNode::vio(){
while(ros::ok() && !quit_)
{
ros::spinOnce();
// TODO check when last image was processed. when too long ago. publish warning that no msgs are received!
}
}