This package estimates the motion of a vehicle based on the radial velocity measurements from a Doppler-capable sensor.
verbose
: whether the node should output execution information to console or not.input_topic
: thesensor_msg::PointCloud2
topic to subscribe to. It should have the followingfloat32
fields in the same order:x
,y
,z
,range
,elevation
,azimuth
,power
,doppler
.tf_from_frame
andtf_to_frame
: the tf frames where thegeometry_msgs::TransformStamped
andnav_msg::Odometry
messages should point to.from
becomes thetf.header.frame_id
, andto
becomestf.child_frame_id
.initial_pose
: starting pose of the vehicle, in the format of a flattened 4x4 matrix (row-major).sensor_pose
: pose of the sensor on the vehicle, in the format of position (3: x, y, z) and quaternion (4: x, y, z, w).calib_rot
: calibrated rotation to fix the sensor orientation, as a quaternion (4: x, y, z).sensor_to_icr_x
: distance between the sensor and the ICR location in meters.min_points
: minimum number of points for the node to work.use_power
: whether the power of the signal of each point should be used as weight.threshold_mode
: method to discard outliers and obtain the sensor velocity from the points of the scene. Possible values:ransac
: default, uses RANSAC with the threshold value ofthreshold_value
.percent
: uses Trimmed Iterative Reweighted Least Squares (IRLS), threshold is set to allow X percent of points as inliers, where is the value ofthreshold_value
.mad
: uses Trimmed IRLS, threshold is set to the median of the residuals plus X times the mad, where X is the value ofthreshold_value
.fixed
: uses Trimmed IRLS, threshold is the value ofthreshold_value
.
threshold_value
: value used to discard outliers. Seethreshold_mode
to see its application.max_linear_vel
: threshold applied to the linear velocity to be considered valid. Higher values are discarded [m/s].max_ang_vel
: threshold applied to the angular velocity to be considered valid. Higher values are discarded [rad/s].velocity_file
: file name where the estimated velocity and covariance of the sensor in each frame should be written. Leave empty so it does not write the file.odometry_file
: file name where the estimated odometry should be written. The format is timestamp (seconds, nanoseconds), position (x, y, z), orientation quaternion (x, y, z, w). Leave empty so it does not write the file.filtered_points_topic
: topic name where the filtered point cloud should be published, outliers are discarded.
- TODO