The free_space_detection package
m_debug_b (bool, default: false)
Print debug information onto console.
m_extractROI_b (bool, default: true)
Extract lower half of image area as Region of Interest (ROI).
m_printTimings_b (bool, default: false)
Print timing information onto console.
m_writeResults_b (bool, default: false)
Write result images to PNG-files.
m_sigma_gaussian_filter_d (double, default: 0.7)
Sigma of gaussian filter for noise reduction in color image.
m_minH_thresh_d (double, default: 0.3)
Lower boundary for entropy based threshold for hue (H) in H-I-Segmentation.
m_minI_thresh_d (double, default: 0.3)
Lower boundary for entropy based threshold for intensity (I) in H-I-Segmentation.
m_felz_sigma_d (double, default: 0.9)
Sigma parameter for Graph based segmentation of Felzenszwalb and Huttenlocher.
m_felz_k_i (int, default: 200)
K parameter for Graph based segmentation of Felzenszwalb and Huttenlocher.
m_felz_minSize_i (int, default: 250)
MinSize parameter for Graph based segmentation of Felzenszwalb and Huttenlocher, minimum size of segments in pixel.
m_segmentClassification_thresh_d (double, default: 0.6)
Threshold for segment classification: relative amount of free space pixel a region must exceed to be considered as free space.
m_morphSize_i (int, default: 2)
Size of morphological operator used if morphological closing is applied.
m_Vdisp_thresh_d (double, default: 10.0)
Maximum distance (in pixel) for pixel being assigned to line in V disparity image.
m_minValidDisp_thresh_d (double, default: 0.7)
Minimum relative amount of valid disparities in disparity image for disparity information to be considered as reliable.
m_resolution_H_d (double, default: 0.05)
Resolution of hue (H) histogram.
m_resolution_I_d (double, default: 0.03)
Resolution of intensity (I) histogram.
m_Udisp_thresh_d (double, default: 5.0)
Maximum distance (in pixel) for pixel being assigned to line in U disparity image.
m_maxDelay_d (double, default: 450.0)
Maximum time delay in milliseconds allowed between time stamps of color image and disparity image.
m_alpha_d (double, default: 0.7)
Weight for influence of entropy in calculation of entropy based threshold in H-I-Segmentation.
m_maxH_thresh_d (double, default: 0.8)
Upper boundary for entropy based threshold for hue (H) in H-I-Segmentation.
m_maxI_thresh_d (double, default: 0.8)
Upper boundary for entropy based threshold for intensity (I) in H-I-Segmentation.
m_priorityAccuracy_b (bool, default: true)
Perform graph based segmentation. This improves accuracy at object borders but takes much more time.
m_minIntensity_i (int, default: 80)
Minimum mean intensity value for good image quality.
segment_freespace_mask (sensor_msgs::Image)
Result free space mask of the graph based segmentation and classification step.
colorHistogram_freespace_mask (sensor_msgs::Image)
Result free space mask of the H-I segmentation step.
disparity_freespace_mask (sensor_msgs::Image)
Result free space mask of the V disparity step.
final_freespace_mask (sensor_msgs::Image)
Result free space mask.
freeSpacePoints (sensor_msgs::PointCloud2)
Free space 3D points based on final free space mask.
camera_rgb_camera_info (sensor_msgs::CameraInfo)
Camera information of microsoft kinect RGB camera.
camera_rgb_image_color (sensor_msgs::Image)
Color image of microsoft kinect RGB camera.
camera_depth_disparity (stereo_msgs::DisparityImage)
Disparity image of microsoft kinect IR (depth) camera.
camera_depth_points (sensor_msgs::PointCloud2)
3D PointCloud of microsoft kinect IR (depth) camera.
camera_depth_camera_info (sensor_msgs::CameraInfo)
Camera information of microsoft kinect IR (depth) camera.