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vio/GPU_version/vio/include/gpu_svo/ukf.h
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5.1 KiB
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//
// Created by root on 6/8/21.
//
#ifndef GPU_SVO_UKF_H
#define GPU_SVO_UKF_H
#include <iostream>
#include <fstream>
#include "gpu_svo/config.h"
#include <Eigen/Dense>
class Base{
public:
Base(const Eigen::Matrix<double, 3, 1> &init) {
state_=init;
cov_.setIdentity();
cov_*=0.0001;
};
virtual ~Base(){
};
void predict(double dx,double dz,double dpitch,double time){
if(t_==0.0){
t_=time;
return;
}
double dt=time-t_;
t_=time;
state_h_(2)=state_(2)+dt*dpitch;
state_h_(1)=state_(1)+dz*cos(state_(2))-dx*sin(state_(2));
state_h_(0)=state_(0)+dx*cos(state_(2))+dz*sin(state_(2));
Eigen::Matrix<double,3,3> R;
R<<svo::Config::Cmd_Cov(),0,0,
0,svo::Config::Cmd_Cov(),0,
0,0,svo::Config::Cmd_Cov();
Eigen::Matrix<double,3,3> G;
G<<1.0,0,-dx*sin(state_(2))+dz*cos(state_(2)),
0,1.0,-dz*sin(state_(2))-dx*cos(state_(2)),
0,0,1.0;
cov_h_=G*cov_*G.transpose()+R;
predict_up=true;
}
void correct(double ddx, double ddz, double dpitch, double time){
Eigen::Matrix<double,3,3> H;
Eigen::Matrix<double,3,3> Q;
Eigen::Matrix<double,3,1> E;
Eigen::Matrix<double,3,3> k;
double dt=time-t_;
t_=time;
H<<1.0,0,0.5*pow(dt,2)*(ddz*cos(state_(2))-ddx*sin(state_(2))),
0,1.0,-0.5*pow(dt,2)*(ddx*cos(state_(2))+ddz*sin(state_(2))),
0,0,1.0;
Q<<svo::Config::ACC_Noise(),0,0,
0,svo::Config::ACC_Noise(),0,
0,0,svo::Config::GYO_Noise();
E(0)=state_(0)+0.5*pow(dt,2)*(ddx*cos(state_(2))+ddz*sin(state_(2)))-state_h_(0);
E(1)=state_(1)+0.5*pow(dt,2)*(ddz*cos(state_(2))-ddx*sin(state_(2)))-state_h_(1);
E(2)=state_(2)+dt*dpitch-state_h_(2);
k=cov_h_*H.transpose()*(H*cov_h_*H.transpose()+Q).inverse();
state_=state_h_+k*E;
if(fabs(state_(2)-yaw_t_1_)>M_PI_4)state_(2)-=M_PI;
if(fabs(state_(2))>2*M_PI)state_(2)-=2.0*int(0.5*state_(2)/M_PI)*M_PI;
cov_=(Eigen::MatrixXd::Identity(3,3)-k*H)*cov_h_;
state_h_(2)=state_(2)+dt*dpitch;
state_h_(1)=state_(1)+0.5*pow(dt,2)*(ddz*cos(state_(2))-ddx*sin(state_(2)));
state_h_(0)=state_(0)+0.5*pow(dt,2)*(ddx*cos(state_(2))+ddz*sin(state_(2)));
Eigen::Matrix<double,3,3> R;
R<<svo::Config::ACC_Noise(),0,0,
0,svo::Config::ACC_Noise(),0,
0,0,svo::Config::GYO_Noise();
Eigen::Matrix<double,3,3> G;
G<<1.0,0,0.5*pow(dt,2)*(ddz*cos(state_(2))-ddx*sin(state_(2))),
0,1.0,-0.5*pow(dt,2)*(ddx*cos(state_(2))+ddz*sin(state_(2))),
0,0,1.0;
cov_h_=G*cov_*G.transpose()+R;
yaw_t_1_=state_(2);
}
void correct(double x, double z,double pitch,size_t match,double time){
Eigen::Matrix<double,3,3> H;
Eigen::Matrix<double,3,3> Q;
Eigen::Matrix<double,3,1> E;
Eigen::Matrix<double,3,3> k;
t_=time;
++match;
H<<1.0,0,0,
0,1.0,0,
0,0,1.0;
Q<<svo::Config::Svo_Ekf(),0,0,
0,svo::Config::Svo_Ekf(),0,
0,0,svo::Config::Svo_Ekf();
E<<x-state_h_(0),z-state_h_(1),pitch-state_h_(2);
k=cov_h_*H.transpose()*(H*cov_h_*H.transpose()+Q).inverse();
state_=state_h_+(k*E);
if(fabs(state_(2)-yaw_t_1_)>M_PI_4)state_(2)-=M_PI;
if(fabs(state_(2))>2*M_PI)state_(2)-=2.0*int(0.5*state_(2)/M_PI)*M_PI;
cov_=(Eigen::MatrixXd::Identity(3,3)-k*H)*cov_h_;
yaw_t_1_=state_(2);
predict_up=false;
}
Eigen::Matrix<double,3,3> cov_;
Eigen::Matrix<double, 3, 1> state_;
bool predict_up=false;
private:
double t_=0.0;
Eigen::Matrix<double,3,3> cov_h_;
Eigen::Matrix<double, 3, 1> state_h_;//state{x,z,pitch}
double yaw_t_1_=0.0;
};
class UKF {
public:
UKF(const Eigen::Matrix<double, 3, 1>& init) : filter_(new Base(init)) {
};
virtual ~UKF() {
delete filter_;
};
void UpdateIMU(double x,double z,double pitch,const ros::Time& time) {
while(lock)usleep(5);
lock=true;
if(abs(x)<1.0)x=pow(x,3);//picked up from your code
if(abs(z)<1.0)z=pow(z,3);//picked up from your code
if(filter_->predict_up)filter_->correct(x,z,pitch,1e-9*time.toNSec());
lock=false;
};
void UpdateCmd(double x,double z,double pitch,const ros::Time& time) {
while(lock)usleep(5);
lock=true;
filter_->predict(x,z,pitch,1e-9*time.toNSec());
lock=false;
};
std::pair<Eigen::Matrix<double,3,3>,svo::SE2_5> UpdateSvo(double x,double z,double pitch,size_t match,ros::Time& time) {
while(lock)usleep(5);
lock=true;
if(filter_->predict_up)filter_->correct(x,z,pitch,match,1e-9*time.toNSec());
lock=false;
return std::pair<Eigen::Matrix<double,3,3>,svo::SE2_5>(filter_->cov_,svo::SE2_5(filter_->state_(0),filter_->state_(1),filter_->state_(2)));
};
private:
Base* filter_= nullptr;
bool lock=false;
};
#endif //GPU_SVO_UKF_H