cwalt's profile - activity

overview network karma followed questions activity

2018-01-04 09:54:09 -0500	received badge	● Supporter (source)
2018-01-03 10:02:40 -0500	commented answer	robot_localization: Differential parameters and covariance Thanks for the answer! It now seems reasonably intuitive. I have ended up using GPS with high covariance as the absolute
2018-01-03 09:55:46 -0500	marked best answer	robot_localization: Differential parameters and covariance I'm trying to fuse visual odometry with an IMU sensor to get pose estimates. Neither of these give covariance by default, so I am setting them myself. My question is: Is at least one absolute position required for the covariance to converge? Is this expected behaviour or is something wrong? For whatever values I try, unless I use the visual odometry with differential=False, the covariance increases forever. I have tried having very small covariance diagonals in the messages, slightly bigger in the noise, and large (but not huge) for the initial estimate.
2018-01-03 09:55:46 -0500	received badge	● Scholar (source)
2018-01-03 09:55:25 -0500	received badge	● Famous Question (source)
2017-12-21 10:57:33 -0500	answered a question	Visualization in changed occupancy threshold case I've been investigating this problem myself. The short answer is yes, the octomap_rviz plugin does not seem to support t
2017-11-27 16:08:41 -0500	received badge	● Notable Question (source)
2017-11-08 19:36:09 -0500	received badge	● Popular Question (source)
2017-10-05 03:47:00 -0500	received badge	● Enthusiast
2017-09-27 06:44:25 -0500	asked a question	robot_localization: Differential parameters and covariance robot_localization: Differential parameters and covariance I'm trying to fuse visual odometry with an IMU sensor to get