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 | 1 | initial version |
I would guess that it's this line:
odom.pose.pose.orientation = odom_quat
odom.pose.pose.orientation is a quaternion message, but odom_quat is a numpy array (which is what transformations.py uses natively) You need to convert the data type before assigning it. The numpy array uses index notation, while the message uses .x .y .z and .w
| | 2 | updated with specific code as requested |
I would guess that it's this line:
odom.pose.pose.orientation = odom_quat
odom.pose.pose.orientation is a quaternion message, but odom_quat is a numpy array (which is what transformations.py uses natively) You need to convert the data type before assigning it. The numpy array uses index notation, while the message uses .x .y .z and .w
To do this you would need to do it like this:
odom.pose.pose.orientation.x = odom_quat[0]
odom.pose.pose.orientation.y = odom_quat[1]
odom.pose.pose.orientation.z = odom_quat[2]
odom.pose.pose.orientation.w = odom_quat[3]
You could collapse it into one line with list comprehension but this is likely easier to read and understand.
| | 3 | raph already updated |
I would guess that it's this line:
odom.pose.pose.orientation = odom_quat
odom.pose.pose.orientation is a quaternion message, but odom_quat is a numpy array (which is what transformations.py uses natively) You need to convert the data type before assigning it. The numpy array uses index notation, while the message uses .x .y .z and .w
To do this you would need to do it like this:
odom.pose.pose.orientation.x = odom_quat[0]
odom.pose.pose.orientation.y = odom_quat[1]
odom.pose.pose.orientation.z = odom_quat[2]
odom.pose.pose.orientation.w = odom_quat[3]
You could collapse it into one line with list comprehension but this is likely easier to read and understand.
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