Comments (1)
In my point of view Loosely-coupled and Tightly-coupled depends on whether the IMU states are included in the system states. And these stated are updated accordingly.
So the answer is yes!
Unlike Kalam Filter or Optimisation based system. In this project we use the feedback-feedforward loops to fuse the IMU & Vision information
from flvis.
Related Issues (13)
- : Failed to load nodelet [/TrackingNodeletClass_loader] of type [flvis/TrackingNodeletClass] even after refreshing the cache: HOT 3
- [FATAL] [1632737727.144338183]: Failed to load nodelet '/LoopClosingNodeletClass_loader` of type `flvis/LoopClosingNodeletClass` to manager `flvis_nodelet_manager' HOT 3
- The program may exit early with an error when you play the bag at 2X speed HOT 2
- <flvis/KeyFrame.h> is missing HOT 4
- Where does loop closing feed back to the algorithm? HOT 3
- Error occur when I run "roslaunch flvis flvis_bag.launch" HOT 1
- Is this suitable for mobile robots with only three degree of freedom? HOT 3
- Could this be a bug? HOT 1
- Full edge remotion in optimization in frame HOT 5
- Attempt to initialize an empty graph Segmentation fault (core dumped) HOT 29
- Current frame being used twice in viCorrectionFromVision HOT 1
- Build error 'fatal error: nav_msgs/Odometry.h: No such file or directory' HOT 2
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from flvis.