Comments (2)
It's not clear what is the action needed from our side.
Please also check the help message of the visualizer, there are 2 modes, 1 it's with the global point of view and the second one is with an egocentric visualization. The local map used for registration moves along with the pose of the vehicle, meaning that there is no global map at all. All the details of our system can be found in the paper ;)
RegistrationVisualizer initialized. Press:
[SPACE] to pause/start
[ESC] to exit
[N] to step
[R] to toggle on/off the raw frame
[F] to toggle on/off the input cloud to the pipeline
[K] to toggle on/off the subsbampled frame
[M] to toggle on/off the local map
[V] to toggle ego/global viewpoint
[T] to toggle the trajectory view(only available in global view)
[C] to center the viewpoint
[W] to toggle a white background
[B] to toggle a black background
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If the input cloud is already in global frame (from faster_lio) - kiss-icp will still register the clouds, but will eventually fail as the range of the input cloud (since those points are already translated) is exceeded. - This isn't a typical scenario but it was the test data I had at the time. :/
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Related Issues (20)
- Modularize Preprocessing Pipeline
- Autocompute ICP covariance HOT 2
- using kiss-icp yields only tranformations existing out of 0's and 1's HOT 7
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- Help, where can I find documentation on how to use kiss-icp from a script, not from the command line? HOT 1
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- Cannot recreate the KITTI results HOT 3
- Deskew in Config is erased by not passing --deskew in kiss_icp_pipeline HOT 8
- Kiss-icp timestamp management with rosbags HOT 2
- Make C++ library installable HOT 1
- How to recur the poses of kitti dataset? HOT 1
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- problem with biuld for ROS2 HOT 1
- Inconsistent unit (rad vs deg) in c++ and python HOT 1
- About Install Python API (developer mode) HOT 1
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