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vio/GPU_version/svo/include/gpu_svo/imu_integration.h
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2021-05-08 11:53:15 +02:00

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//
// 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/nonlinear/LevenbergMarquardtOptimizer.h>
#include <gtsam/navigation/ImuBias.h>
#include <gtsam/inference/Symbol.h>
#include <gtsam/slam/ProjectionFactor.h>
#include <gtsam/nonlinear/ISAM2.h>
#include <sophus/se3.h>
#include <gpu_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)
using gtsam::symbol_shorthand::C; // Camera pose
//https://stackoverflow.com/questions/24881799/get-index-in-c11-foreach-loop
// Wrapper class
template <typename T>
class enumerate_impl
{
public:
// The return value of the operator* of the iterator, this
// is what you will get inside of the for loop
struct item
{
size_t index;
typename T::value_type & item;
};
typedef item value_type;
// Custom iterator with minimal interface
struct iterator
{
iterator(typename T::iterator _it, size_t counter=0) :
it(_it), counter(counter)
{}
iterator operator++()
{
return iterator(++it, ++counter);
}
bool operator!=(iterator other)
{
return it != other.it;
}
typename T::iterator::value_type item()
{
return *it;
}
value_type operator*()
{
return value_type{counter, *it};
}
size_t index()
{
return counter;
}
private:
typename T::iterator it;
size_t counter;
};
enumerate_impl(T & t) : container(t) {}
iterator begin()
{
return iterator(container.begin());
}
iterator end()
{
return iterator(container.end());
}
private:
T & container;
};
// A templated free function allows you to create the wrapper class
// conveniently
template <typename T>
enumerate_impl<T> enumerate(T & t)
{
return enumerate_impl<T>(t);
}
class Imu_Integration{
public:
Imu_Integration(Sophus::SE3& SE_init);
~Imu_Integration();
bool reset(gtsam::ISAM2& optimizer,boost::shared_ptr<svo::Frame>& new_frame);
bool reset(gtsam::LevenbergMarquardtOptimizer& optimizer,boost::shared_ptr<svo::Frame>& new_frame);
bool update(double* imu= nullptr);
bool predict(boost::shared_ptr<svo::Frame>&,std::size_t&,const double reproj_thresh);
private:
std::shared_ptr<gtsam::NavState> statePtr;
std::shared_ptr<gtsam::imuBias::ConstantBias> imu_biasPtr;
std::shared_ptr<gtsam::Values> valuesPtr;
std::shared_ptr<gtsam::NonlinearFactorGraph> graphPtr;
boost::shared_ptr<gtsam::PreintegratedCombinedMeasurements::Params> parameterPtr;
std::shared_ptr<gtsam::PreintegratedCombinedMeasurements> preintegratedPtr;
boost::shared_ptr<gtsam::noiseModel::Isotropic> ProjectNoisePtr;
std::chrono::steady_clock::time_point t_1;
std::uint32_t imu_factor_id=0;
uint imu_n=0;
std::shared_ptr<gtsam::ISAM2Params> optimizerParamPtr;
bool syn=false;
};
#endif //SVO_IMU_INTEGRATION_H