Closed illuosion closed 1 year ago
and I have problem in graco, the graco_lidar.launch.py has been run 2h,is it possible?
Hi! Unfortunately, I don't have download links for those massive datasets. I rely on theirs authors for the dataset availability. So you will have to download, split and convert the KITTI dataset yourself : https://www.cvlibs.net/datasets/kitti/ , https://github.com/tomas789/kitti2bag , https://discourse.ros.org/t/rosbags-the-pure-python-library-for-everything-rosbag/20944
For the second problem, one or more nodes must have crashed. Please check if all ros2 nodes are still alive with ros2 node list
, you can post the output here.
For the second problem, one or more nodes must have crashed. Please check if all ros2 nodes are still alive with
ros2 node list
, you can post the output here.
btw ,how 2 visualize the odometry result and map while testing graco
the final output above
![]()
the final output above
should I change some params ?
According to your screenshot one of the pose graph manager has crashed which explains the observed behavior. This is probably due to a out-of-memory error. Running multiple Swarm-SLAM agents + ROS 2 bags on a single computer requires a lot of RAM. I suggest that you reduce the rate at which the ROS 2 bags are played and the time offset between them https://github.com/lajoiepy/cslam_experiments/blob/9f72df6549478e55643e5c1ae566675d14faee13/launch/datasets_experiments/kitti_lidar.launch.py#L135 and https://github.com/lajoiepy/cslam_experiments/blob/9f72df6549478e55643e5c1ae566675d14faee13/launch/datasets_experiments/kitti_lidar.launch.py#L130 Alternatively, you can decrease the Swarm-SLAM performance by increasing the various loop periods available in the configuration files such as https://github.com/lajoiepy/cslam_experiments/blob/9f72df6549478e55643e5c1ae566675d14faee13/config/kitti_lidar.yaml#L15 The best solution is to run each agent on a different computer in the same network as this is the target design of Swarm-SLAM.
You can see the odometry results with ros2 topic echo /rX/odom
where X is the robot ID.
Also you can visualize a live visualization of the pose graph estimates using https://github.com/lajoiepy/cslam_visualization
My server has 32 GB RAM,how the system performs if I use 2 robots
I want to clarify that the system does not shutdown on itself. It keeps running until you kill it. I strongly suggest that you run the cslam_visualization to see the results. You can also enable logging https://github.com/lajoiepy/cslam_experiments/blob/9f72df6549478e55643e5c1ae566675d14faee13/config/kitti_lidar.yaml#L34 and see the resulting files in your log_folder.
If I want to do an image experiment on a KITTI dataset, where should I download the standard dataset which is applied to Swarm-SLAM?could u give a link?