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2015-08-11 08:31:50 -0500 | commented question | Question regarding tf2 static_transform_publisher Hi, did you solve the problem? I'm having the same issue. |
2015-08-11 08:30:35 -0500 | answered a question | Question regarding tf2 static_transform_publisher Hi, did you solve the problem? I'm having the same issue. |
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2014-11-26 12:33:40 -0500 | commented question | robot_localization: imu ignored Tom, I was able to fix the problem and now everything integrates. A suggestion: would it be possible to add the reason of integration failure in the debug output? In any case, thanks a lot. |
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2014-11-26 09:32:47 -0500 | commented answer | robot_localization: imu ignored Thanks, I did it that way. I'm deleting this post. |
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2014-11-26 08:32:00 -0500 | answered a question | robot_localization: imu ignored Tom, thanks for taking the time to take a look at this. I'm attaching the debug output of ekf_navigation. Replying to your comments and questions:
Hernan |
2014-11-26 08:27:31 -0500 | answered a question | robot_localization: imu ignored Tom, thanks for taking the time to take a look at this. I'm attaching the debug output of ekf_navigation. Replying to your comments and questions:
Hernan |
2014-11-25 20:15:33 -0500 | asked a question | robot_localization: imu ignored Hi All, I'm beginner with robot_localization and ROS in general so would greatly appreciate your help. I've configured the robot_localization launch file to receive an odometry and a imu. The sensor data is actually simulated, so I'm providing only a global position estimate on the odometry message: and only a positive yaw velocity and x acceleration on the imu: The odometry message is indeed received by robot_localization and the filter initializes and track the position. My problem is that the imu0 is completely ignored. It is not incorporated into the filter, even when the debug output of robot_localization is indeed reporting the reception of the measurement: Furthermore, I have the corresponding transformation: I know it is not integrating the imu data because no matter what values I assign to the yaw velocity or x acceleration, the filter output is always the same. The assigned covariances are in the order of 0.01*2 for rotation speed and 0.0012 for translation acceleration. Does anyone can give me a hint of what I might be doing wrong? I would highly appreciate any help. EDIT 1: (11/26/2014)
EDIT 2: Yay, Tom, it seems that you are right. It is a problem with the tf. (more) |