* rtabmap_odom tests and doc * opengv note * added ci checks or humble-latest flaky dep cmake errors * Added real data tests for rgbd_odom and stereo_odom * added real data for icp_odometry's deskewing test * fixing json cmake error on lyrical/rolling * test 2d icp odom deskewing branch * first review of existing OdometryROS tests * testing with imu used as guess * tested imu arrivals sync * Fixed odom reset on right pose when guess frame id is used * fixing header errors in ci >=lyrical * Added support for input rgbd_image topic with features for odom, added multicam rgbd_odometry test * Added stereo odom support for features-only frames. Added multicam stereo tests. * forcing latest rtabmap version * updated OdometryROS API * ci: dont build non-latest docker in pull requests * splitting docker jobs * doc edit * Making publish_null_when_lost:=false continous when guess is provided (using guess covariance when we cannot register yet) * updated stereo doc * ficing rolling ci (rviz Ogre header) * Added test coverage of alll rgbd_image callbacks * fixing rolling ci * making docker ci build/run the tests on pull requests * fixing ros2 ci testing * improved sync callback coverage * improving stereo_odometry test coverage * improved icp_odometry test coverage * lyrical voxel_grid ptr error * make multicam tests working as well without opengv * removing deps of missing packages on rolling * PCL empty cloud conversion compiler errors fix * fixing icp_odometry test failure on ci witohut libpointmatcher * fixing nav2 costmap plugin build on lyrical * joining thread when exiting * updating icp test to work the same on pcl 1.15 (lyrical) * Fix parallel tests seg fault --------- Co-authored-by: mathieu86 <[email protected]>
6.7 KiB
point_cloud_xyzrgb
Projects an RGB-D frame, a stereo pair or a disparity image into a colored point cloud.
The colored counterpart of point_cloud_xyz: same filtering, same parameters, but every point carries the color of the pixel it came from. It accepts four different input sets, so it can sit at the end of an RGB-D, stereo or disparity pipeline without anything in between.
Contents
Usage
ros2 run rtabmap_util point_cloud_xyzrgb --ros-args \
-r rgb/image:=/camera/color/image_raw \
-r depth/image:=/camera/aligned_depth_to_color/image_raw \
-r rgb/camera_info:=/camera/color/camera_info \
-p decimation:=4 -p voxel_size:=0.05
ComposableNode(
package='rtabmap_util',
plugin='rtabmap_util::PointCloudXYZRGB',
name='point_cloud_xyzrgb',
parameters=[{'decimation': 4, 'voxel_size': 0.05}],
remappings=[('rgb/image', '/camera/color/image_raw'),
('depth/image', '/camera/aligned_depth_to_color/image_raw'),
('rgb/camera_info', '/camera/color/camera_info')])
Subscribed Topics
Four independent input sets; connect exactly one.
RGB-D
| Topic | Type | Description |
|---|---|---|
rgb/image |
sensor_msgs/msg/Image |
mono8, mono16, bgr8, rgb8, bgra8, rgba8 or bayer_grbg8. |
depth/image |
sensor_msgs/msg/Image |
32FC1, 16UC1 or mono16, registered to the color camera. |
rgb/camera_info |
sensor_msgs/msg/CameraInfo |
Stereo
| Topic | Type | Description |
|---|---|---|
left/image |
sensor_msgs/msg/Image |
Rectified. |
right/image |
sensor_msgs/msg/Image |
Rectified. |
left/camera_info |
sensor_msgs/msg/CameraInfo |
|
right/camera_info |
sensor_msgs/msg/CameraInfo |
Its P(0,3) carries the baseline. |
Dense matching is done on the fly with OpenCV's block matcher; see Stereo matching.
Disparity
| Topic | Type | Description |
|---|---|---|
left/image |
sensor_msgs/msg/Image |
Supplies the color. |
disparity |
stereo_msgs/msg/DisparityImage |
32FC1 or 16SC1. |
left/camera_info |
sensor_msgs/msg/CameraInfo |
Bundled
| Topic | Type | Description |
|---|---|---|
rgbd_image |
rtabmap_msgs/msg/RGBDImage |
A whole frame in one message, RGB-D or stereo. No synchronization needed, so this is the most reliable input. |
Published Topics
| Topic | Type | Description |
|---|---|---|
cloud |
sensor_msgs/msg/PointCloud2 |
XYZRGB, or XYZRGBNormal when normals are enabled. |
Nothing is computed unless cloud has a subscriber.
Parameters
Identical to point_cloud_xyz, with image_transport added and the Stereo* family below.
Synchronization
| Parameter | Type | Default | Description |
|---|---|---|---|
approx_sync |
bool |
true |
Match the inputs by nearest stamp. Set false when they share exact stamps. |
approx_sync_max_interval |
double |
0.0 |
Reject sets spanning more than this many seconds. 0 disables. |
topic_queue_size |
int |
1 |
Queue depth of each input subscription. |
sync_queue_size |
int |
10 |
Queue depth of the synchronizer. |
qos |
int |
0 |
Reliability of the image and disparity subscriptions. |
qos_camera_info |
int |
value of qos |
Reliability of the camera info subscriptions. |
image_transport |
string |
"raw" |
image_transport plugin for the color, left and right images. |
depth_transport |
string |
"raw" |
image_transport plugin for depth/image. |
Projection and filtering, applied in this order
| Parameter | Type | Default | Description |
|---|---|---|---|
decimation |
int |
1 |
Keep one pixel in decimation, in each direction. |
roi_ratios |
string |
"" |
Crop before projecting, "left right top bottom". Ignored for stereo input, which warns if you set it. |
min_depth |
double |
0.0 |
Discard points nearer than this, in meters. 0 disables. |
max_depth |
double |
0.0 |
Discard points further than this, in meters. 0 disables. |
voxel_size |
double |
0.0 |
Downsample to one point per voxel, in meters. 0 disables. |
noise_filter_radius |
double |
0.0 |
Radius outlier removal, in meters. 0 disables. |
noise_filter_min_neighbors |
int |
5 |
Neighbors needed within noise_filter_radius. |
normal_k |
int |
0 |
Estimate normals from this many neighbors. 0 disables. |
normal_radius |
double |
0.0 |
Estimate normals within this radius. 0 disables. |
filter_nans |
bool |
false |
Drop invalid points instead of leaving them NaN, giving an unorganized cloud. See point_cloud_xyz. |
Stereo matching
The stereo and rgbd_image-with-stereo inputs run OpenCV's block matcher, configured through RTAB-Map's StereoBM/* parameters, which are exposed as ROS parameters of this node:
-p StereoBM/NumDisparities:=64 -p StereoBM/BlockSize:=15
The full list is in RTAB-Map's parameter reference. The two that matter most are StereoBM/NumDisparities (must exceed the largest disparity you expect, and must not exceed the image width) and StereoBM/BlockSize.
If you already have a disparity image, feed the disparity input instead — it skips the matching entirely.
Notes
For RGB-D input the depth must be registered to the color camera: the node pairs pixel (u,v) of the color image with pixel (u,v) of the depth image and uses one calibration for both. Unregistered depth gives a cloud whose colors are offset from its geometry. Most drivers offer an aligned depth stream for this reason.
An rgbd_image carrying only color and no depth is valid and yields an empty cloud rather than an error.