[53] | 1 | /*********************************************************************
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| 2 | // created: 2013/06/25 - 18:40
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| 3 | // filename: ObstacleDetectionComponent.h
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| 4 | //
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| 5 | // author: Danilo Alves de Lima
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| 6 | // Copyright Heudiasyc UMR UTC/CNRS 6599
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| 7 | //
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| 8 | // version: $Id: $
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| 9 | //
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| 10 | // purpose:
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| 11 | *********************************************************************/
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| 12 |
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| 13 | #ifndef OBSTACLEDETECTIONCOMPONENT_H
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| 14 | #define OBSTACLEDETECTIONCOMPONENT_H
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| 15 |
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| 16 | #include <fstream>
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| 17 | #include <qcoreevent.h>
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| 18 | #include <qthread.h>
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| 19 | #include <string>
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| 20 |
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| 21 | #include "opencv2/objdetect/objdetect.hpp"
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| 22 | #include "opencv2/highgui/highgui.hpp"
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| 23 | #include "opencv2/imgproc/imgproc.hpp"
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| 24 |
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| 25 | #include "Pacpus/kernel/ComponentBase.h"
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| 26 | #include "Pacpus/kernel/DbiteFile.h"
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| 27 | #include "Pacpus/PacpusTools/ShMem.h"
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| 28 | #include "StereoVisionDisparityExp.h"
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| 29 |
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| 30 | #include "../../StdDbtPlayerComponents/ImageBaseStructure.h"
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| 31 |
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| 32 | #include <QThread>
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| 33 |
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| 34 | namespace pacpus {
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| 35 |
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| 36 | /** Class to provide the obstacle detection from a disparity map data */
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| 37 | class STEREOVISIONDISPARITY_API ObstacleDetectionComponent: public QThread,
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| 38 | public ComponentBase
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| 39 | {
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| 40 | public:
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| 41 | //============================= DEFAULT ELEMENTS ===============================================
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| 42 | ObstacleDetectionComponent(QString name);
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| 43 | ~ObstacleDetectionComponent();
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| 44 |
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| 45 | void run();
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| 46 |
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| 47 | virtual void stopActivity(); /*!< to stop the processing thread */
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| 48 | virtual void startActivity(); /*!< to start the processing thread */
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| 49 | virtual ComponentBase::COMPONENT_CONFIGURATION configureComponent(XmlComponentConfig config);
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| 50 | //==============================================================================================
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| 51 |
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| 52 | protected:
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| 53 |
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| 54 | // Indicates that thread is running
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| 55 | bool is_running, THREAD_ALIVE;
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| 56 |
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| 57 |
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| 58 | public:
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| 59 |
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| 60 | /**
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| 61 | * Initialize default values
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| 62 | */
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| 63 | void InitDefault();
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| 64 |
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| 65 | private:
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| 66 |
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| 67 | double ANG_VARIATION, ANG_VARIATION2;
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| 68 |
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| 69 | int cam_width; // Image width
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| 70 | int cam_height; // image height
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| 71 | int cam_channels; // number of channels
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[64] | 72 | double cam_ref_cx; // cx camera divide by x image size
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| 73 | double cam_ref_cy; // cy camera divide by y image size
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| 74 | double cam_ref_fx; // fx camera divide by x image size
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| 75 | double cam_ref_fy; // fy camera divide by y image size
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[68] | 76 | double cam_baseline; // distance between two cameras in meter
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[53] | 77 | bool showdebug; // Show frame acquired
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| 78 | int min_disp; // Minimum disparity value to detect obstacles in the u/v-disp map
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| 79 | int max_disp; // Maximum disparity value to detect obstacles in the u/v-disp map
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| 80 | int min_disp_norm; // Minimum disparity value to equalize the disp map 16
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| 81 | int max_disp_norm; // Maximum disparity value to equalize the disp map 16
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| 82 |
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| 83 | int destiny_roi_x; // Destiny image roi x
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| 84 | int destiny_roi_y; // Destiny image roi y
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| 85 | int destiny_roi_width; // Destiny image roi width
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| 86 | int destiny_roi_height; // Destiny image roi height
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| 87 |
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| 88 | bool use_roi; // If is to use roi
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| 89 |
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| 90 | int mMaxImageInputSize1; // Size of the input image data in the memory
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| 91 | int mMaxImageInputSize2; // Size of the input image data in the memory
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| 92 | int mMaxImageOutputSize; // Size of the output image data in the memory
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| 93 |
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| 94 | TimestampedStructImage RefImageHeader; // Header for the reference image
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| 95 | TimestampedStructImage DispInImageHeader; // Header for the input disp image
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| 96 | TimestampedStructImage Mask1ImageHeader; // Header for the mask image 1
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| 97 | TimestampedStructImage Mask2ImageHeader; // Header for the mask image 2
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| 98 | TimestampedStructImage DispOutImageHeader; // Header for the output disp image
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| 99 |
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[56] | 100 | void * ref_mem;
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| 101 | void * dispin_mem;
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| 102 | void * mask1_mem;
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| 103 | void * mask2_mem;
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| 104 | void * dispout_mem;
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[53] | 105 |
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| 106 | size_t ref_mem_size; // Image shared memory position size
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| 107 | size_t dispin_mem_size; // Image shared memory position size
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| 108 | size_t mask1_mem_size; // Image shared memory position size
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| 109 | size_t mask2_mem_size; // Image shared memory position size
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| 110 | size_t dispout_mem_size; // Image shared memory position size
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| 111 |
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| 112 | // Imput data
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| 113 | ShMem * shmem_ref; // Shared memory control access to the image data
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| 114 | ShMem * shmem_dispin; // Shared memory control access to the image data
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| 115 |
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| 116 | // Output data
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| 117 | ShMem * shmem_mask1; // Shared memory control access to the image data (free space mask)
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| 118 | ShMem * shmem_mask2; // Shared memory control access to the image data (obstacles mask)
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| 119 | ShMem * shmem_dispout; // Shared memory control access to the image data (disparity map 16)
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| 120 |
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[56] | 121 | ShMem * shmem_dispMapNormalized;
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| 122 | ShMem * shmem_result;
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| 123 |
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[53] | 124 | cv::Mat CurrentReferenceFrame; // Reference image
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| 125 | cv::Mat CurrentDisparityMap16; // Disparity Map
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| 126 |
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| 127 | cv::Mat CurrentSurfaceMask; // Surface mask
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| 128 | cv::Mat CurrentObstaclesMask; // Obstacles mask
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| 129 |
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| 130 | // Function to calculate the U/V disparity map
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| 131 | std::pair<cv::Mat, cv::Mat> CalcUVDisparityMap(cv::Mat disp_map);
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| 132 |
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| 133 | /* CalcUVDisparityMapNorm
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| 134 | Description:
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| 135 | Function to calculate the U/V disparity map from a disp map normalized
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| 136 | Parameters:
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| 137 | disp_map16 = original disparity map 16
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| 138 | disp_map_norm = resulted disparity map normalized
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| 139 | min_d_norm = Minimum disparity value to equalize the disp map 16
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| 140 | max_d_norm = Maximum disparity value to equalize the disp map 16
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| 141 | */
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| 142 | void CalcUVDisparityMapNorm(cv::Mat disp_map16, cv::Mat &v_disp_map, cv::Mat &u_disp_map, cv::Mat &disp_map_norm, int min_d_norm, int max_d_norm);
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| 143 |
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| 144 | //Function to check the points order, making the second one with the highest y ever
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| 145 | void CheckPoints(cv::Point &pt1, cv::Point &pt2);
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| 146 |
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| 147 | // Function to calculate the line slope of pt1 to pt2
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| 148 | double Inclination(cv::Point pt1, cv::Point pt2);
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| 149 |
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| 150 | // Function to calculate the free space (v_disp_1) and obstacles (v_disp_2) masks from
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| 151 | // a red highlighted V-Disparity map
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| 152 | std::pair<cv::Mat, cv::Mat> MaskSurface2(cv::Mat disp_map, cv::Mat v_disp_1, cv::Mat v_disp_2, int min_d = 0, int max_d = 255, int value = 0);
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| 153 |
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| 154 | // Function to calculate the free space (v_disp_1) and obstacles (v_disp_2/u_disp) masks from
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| 155 | // a red highlighted V-Disparity map
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| 156 | std::pair<cv::Mat, cv::Mat> MaskSurface3(cv::Mat disp_map, cv::Mat v_disp_1, cv::Mat v_disp_2, cv::Mat u_disp, int min_d = 0, int max_d = 255, int value = 0);
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| 157 |
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| 158 | // Function to find the free space surface from a V-disparity map
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| 159 | cv::Mat FindSurface(cv::Mat &v_disp_map, cv::Mat &v_disp_map2);
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| 160 |
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| 161 | /* FindSurface2
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| 162 | Description:
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| 163 | Function to find the free space surface from a V-disparity map, based on the frontal plane.
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| 164 | Return the V-dysparity map with the red line representing the free surface.
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| 165 | Parameters:
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| 166 | v_disp_map = Original V-disparity map
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| 167 | v_disp_map2 = Orignal V-disparity map less the surface detected
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| 168 | */
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| 169 | cv::Mat FindSurface2(cv::Mat &v_disp_map, cv::Mat &v_disp_map2);
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| 170 |
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| 171 | // Function to find the free space surface from a V-disparity map with mean average
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| 172 | cv::Mat FindAverageSurface(cv::Mat &v_disp_map, cv::Mat &v_disp_map2);
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| 173 |
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| 174 | // Function to find the near obstacles from a v-Disparity map
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| 175 | cv::Mat FindNearObstacles(cv::Mat v_disp_map, int min_d = 0, int max_d = 255);
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| 176 |
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| 177 | // Function to find the near obstacles from the v/u-Disparity maps
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| 178 | std::pair<cv::Mat, cv::Mat> FindNearObstaclesUV(cv::Mat v_disp_map, cv::Mat u_disp_map, int min_d = 0, int max_d = 255);
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| 179 |
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| 180 | /* LinesFiltering
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| 181 | Description:
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| 182 | Filter the detected lines related to the distance and angle between them.
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| 183 | Parameters:
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| 184 | lines = line list (point 1 and 2)
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| 185 | */
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| 186 | std::vector<cv::Point> LinesFiltering(std::vector<cv::Vec4i> lines);
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| 187 |
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| 188 | /* CalcMedian
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| 189 | Description:
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| 190 | Calcule the median value of a vector.
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| 191 | Parametros:
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| 192 | vector = vector with data to calculate the median
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| 193 | */
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| 194 | template<class A>
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| 195 | A CalcMedian(std::vector<A> vetor) const;
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| 196 |
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[68] | 197 | bool PointTriangulate(int row, int col, double &x, double &y, double &z, double disparity);
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[53] | 198 | };
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| 199 |
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| 200 | }
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| 201 | #endif // OBSTACLEDETECTIONCOMPONENT
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