ROS Resources: Documentation | Support | Discussion Forum | Index | Service Status | ros @ Robotics Stack Exchange |
1 | initial version |
Hello !
The documentation for this message is here : http://docs.ros.org/api/geometry_msgs/html/msg/PoseWithCovariance.html
The Covariance is Row-Major order so you can access it with 2 methods :
CUSTOMIZED_MSG_NAME.covariance[0..35]
CUSTOMIZED_MSG_NAME.covariance[0..5][0..5]
2 | No.2 Revision |
Hello !
The documentation for this message is here : http://docs.ros.org/api/geometry_msgs/html/msg/PoseWithCovariance.html
The Covariance is Row-Major order so you can access it with 2 methods :
CUSTOMIZED_MSG_NAME.covariance[0..35]
CUSTOMIZED_MSG_NAME.covariance[0..5][0..5] CUSTOMIZED_MSG_NAME.covariance[06+0..56+5] (for 6*6 matrix only)
CUSTOMIZED_MSG_NAME.covariance[0..5][0..5]
3 | No.3 Revision |
Hello !
The documentation for this message is here : http://docs.ros.org/api/geometry_msgs/html/msg/PoseWithCovariance.htmlhere:
# This represents a pose in free space with uncertainty. Pose pose
# Row-major representation of the 6x6 covariance matrix
# The orientation parameters use a fixed-axis representation.
# In order, the parameters are:
# (x, y, z, rotation about X axis, rotation about Y axis, rotation about Z axis)
float64[36] covariance
The Covariance So covariance
is Row-Major order so you can access it with 2 methods :
CUSTOMIZED_MSG_NAME.covariance[0..35]
CUSTOMIZED_MSG_NAME.covariance[0..35] or
CUSTOMIZED_MSG_NAME.covariance[06+0..56+5]
CUSTOMIZED_MSG_NAME.covariance[0*6+0..5*6+5]
(for 6*6 matrix CUSTOMIZED_MSG_NAME.covariance[0..5][0..5]
4 | No.4 Revision |
Hello !
The documentation for this message is here:
# This represents a pose in free space with uncertainty. Pose pose
# Row-major representation of the 6x6 covariance matrix
# The orientation parameters use a fixed-axis representation.
# In order, the parameters are:
# (x, y, z, rotation about X axis, rotation about Y axis, rotation about Z axis)
float64[36] covariance
So covariance
is Row-Major order so you can access it with 2 methods :
CUSTOMIZED_MSG_NAME.covariance[0..35]
or
CUSTOMIZED_MSG_NAME.covariance[0*6+0..5*6+5] (for 6*6 matrix only)
CUSTOMIZED_MSG_NAME.covariance[0..5][0..5]