XTDrone/sensing/slam/vslam/ORB_SLAM2/include/Tracking.h

222 lines
6.0 KiB
C++

/**
* This file is part of ORB-SLAM2.
*
* Copyright (C) 2014-2016 Raúl Mur-Artal <raulmur at unizar dot es> (University of Zaragoza)
* For more information see <https://github.com/raulmur/ORB_SLAM2>
*
* ORB-SLAM2 is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* ORB-SLAM2 is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with ORB-SLAM2. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef TRACKING_H
#define TRACKING_H
#include<opencv2/core/core.hpp>
#include<opencv2/features2d/features2d.hpp>
#include"Viewer.h"
#include"FrameDrawer.h"
#include"Map.h"
#include"LocalMapping.h"
#include"LoopClosing.h"
#include"Frame.h"
#include "ORBVocabulary.h"
#include"KeyFrameDatabase.h"
#include"ORBextractor.h"
#include "Initializer.h"
#include "MapDrawer.h"
#include "System.h"
#include <mutex>
namespace ORB_SLAM2
{
class Viewer;
class FrameDrawer;
class Map;
class LocalMapping;
class LoopClosing;
class System;
class Tracking
{
public:
Tracking(System* pSys, ORBVocabulary* pVoc, FrameDrawer* pFrameDrawer, MapDrawer* pMapDrawer, Map* pMap,
KeyFrameDatabase* pKFDB, const string &strSettingPath, const int sensor);
// Preprocess the input and call Track(). Extract features and performs stereo matching.
cv::Mat GrabImageStereo(const cv::Mat &imRectLeft,const cv::Mat &imRectRight, const double &timestamp);
cv::Mat GrabImageRGBD(const cv::Mat &imRGB,const cv::Mat &imD, const double &timestamp);
cv::Mat GrabImageMonocular(const cv::Mat &im, const double &timestamp);
void SetLocalMapper(LocalMapping* pLocalMapper);
void SetLoopClosing(LoopClosing* pLoopClosing);
void SetViewer(Viewer* pViewer);
// Load new settings
// The focal lenght should be similar or scale prediction will fail when projecting points
// TODO: Modify MapPoint::PredictScale to take into account focal lenght
void ChangeCalibration(const string &strSettingPath);
// Use this function if you have deactivated local mapping and you only want to localize the camera.
void InformOnlyTracking(const bool &flag);
public:
// Tracking states
enum eTrackingState{
SYSTEM_NOT_READY=-1,
NO_IMAGES_YET=0,
NOT_INITIALIZED=1,
OK=2,
LOST=3
};
eTrackingState mState;
eTrackingState mLastProcessedState;
// Input sensor
int mSensor;
// Current Frame
Frame mCurrentFrame;
cv::Mat mImGray;
// Initialization Variables (Monocular)
std::vector<int> mvIniLastMatches;
std::vector<int> mvIniMatches;
std::vector<cv::Point2f> mvbPrevMatched;
std::vector<cv::Point3f> mvIniP3D;
Frame mInitialFrame;
// Lists used to recover the full camera trajectory at the end of the execution.
// Basically we store the reference keyframe for each frame and its relative transformation
list<cv::Mat> mlRelativeFramePoses;
list<KeyFrame*> mlpReferences;
list<double> mlFrameTimes;
list<bool> mlbLost;
// True if local mapping is deactivated and we are performing only localization
bool mbOnlyTracking;
void Reset();
protected:
// Main tracking function. It is independent of the input sensor.
void Track();
// Map initialization for stereo and RGB-D
void StereoInitialization();
// Map initialization for monocular
void MonocularInitialization();
void CreateInitialMapMonocular();
void CheckReplacedInLastFrame();
bool TrackReferenceKeyFrame();
void UpdateLastFrame();
bool TrackWithMotionModel();
bool Relocalization();
void UpdateLocalMap();
void UpdateLocalPoints();
void UpdateLocalKeyFrames();
bool TrackLocalMap();
void SearchLocalPoints();
bool NeedNewKeyFrame();
void CreateNewKeyFrame();
// In case of performing only localization, this flag is true when there are no matches to
// points in the map. Still tracking will continue if there are enough matches with temporal points.
// In that case we are doing visual odometry. The system will try to do relocalization to recover
// "zero-drift" localization to the map.
bool mbVO;
//Other Thread Pointers
LocalMapping* mpLocalMapper;
LoopClosing* mpLoopClosing;
//ORB
ORBextractor* mpORBextractorLeft, *mpORBextractorRight;
ORBextractor* mpIniORBextractor;
//BoW
ORBVocabulary* mpORBVocabulary;
KeyFrameDatabase* mpKeyFrameDB;
// Initalization (only for monocular)
Initializer* mpInitializer;
//Local Map
KeyFrame* mpReferenceKF;
std::vector<KeyFrame*> mvpLocalKeyFrames;
std::vector<MapPoint*> mvpLocalMapPoints;
// System
System* mpSystem;
//Drawers
Viewer* mpViewer;
FrameDrawer* mpFrameDrawer;
MapDrawer* mpMapDrawer;
//Map
Map* mpMap;
//Calibration matrix
cv::Mat mK;
cv::Mat mDistCoef;
float mbf;
//New KeyFrame rules (according to fps)
int mMinFrames;
int mMaxFrames;
// Threshold close/far points
// Points seen as close by the stereo/RGBD sensor are considered reliable
// and inserted from just one frame. Far points requiere a match in two keyframes.
float mThDepth;
// For RGB-D inputs only. For some datasets (e.g. TUM) the depthmap values are scaled.
float mDepthMapFactor;
//Current matches in frame
int mnMatchesInliers;
//Last Frame, KeyFrame and Relocalisation Info
KeyFrame* mpLastKeyFrame;
Frame mLastFrame;
unsigned int mnLastKeyFrameId;
unsigned int mnLastRelocFrameId;
//Motion Model
cv::Mat mVelocity;
//Color order (true RGB, false BGR, ignored if grayscale)
bool mbRGB;
list<MapPoint*> mlpTemporalPoints;
};
} //namespace ORB_SLAM
#endif // TRACKING_H