I switched from calling timeseries(<rosbag>, 'Pose.Covariance') which assumes timeseries() is working for all non-custom message types. So now I select the topic, execute readMessages(), and then iterate on the messages. So something like messages{1}.Pose.Covariance{1} gives me the XX covariance for the first message. This does appear to be slower than letting timeseries do the work, but I haven't proven that yet by removing only the covariance access and then comparing the two methods (timeseries will work with X,Y positions as long as I don't attempt to get the covariance vector).
ROS Toolbox - Can't access a ROS Message Array
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(cannot paste from clip board to here so I'm retyping by hand)
uwb_ts = timeseries(uwb, 'Pose.Pose.Position.X', Pose.Pose.Position.Y', 'Pose.Covariance')
where uwb is a nav_msgs/Odometry message
I can Read the scalars but I can't read the array. I don't see any examples of getting arrays.
Matlab sees this as: (can't paste into this buffer so trust me, it's Pose.Covariance) yet it crashes with a no such thing message
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Cam Salzberger
am 1 Mai 2020
Hello Jeff,
I know this is pretty old, but I wanted to get visibility on the reason for this error. I've just answered a similar question here.
The issue is that the timeseries method for BagSelection objects is only valid for use with numerical and scalar data. The Covariance field is an array, so timeseries cannot extract it. I understand that the error message is confusing, and have submitted a request to the appropriate team to look into improving it.
If you make use of readMessages(..., "DataFormat", "struct"), that is generally much faster than the standard "readMessages". It's a good way to get quick access to data.
-Cam
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