depth_clustering
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:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
Thanks for your great work! I get wrong result with use kitti dataset ,how can i fix it ? The screenshot is as follows, looking forward to your reply 
Thanks a lot!! could you please tell me the version of Opencv you are using in this project ,cause when I run the code with opencv4.5.4 ,it turns out like...
untill I add this line #include in cloud_saver.cpp this problem has been solved! Just out of curiosity, how you guys make the code to work. 
I tried to make what has been mentioned here #19, but got the following: rosrun depth_clustering publish_clusters_node --num_beams 32 ===================== Setting Connection ===================== || Sender: CloudOdomRosSubscriber (id: 1) || Type:...
Ouster's OS0-128 outputs 128 lines of resolution in a standard pointcloud2 msg on the ROS topic, "/os_cloud_node/points". Per the link below, the ROS node assumes the standard Velodyne pointcloud topic...
Will there be a release for ROS Noetic? Thank you for your great work.
Hi @niosus , I would like to reproduce your result at Fig3 in your journal paper. I tried a naive approach to get the removal ground points by changing this...
When running on HDL-32E LiDAR data, many ground points are being detected as object points. How should parameters for ground detection be adjusted? For instance, the ground_remove_angle? Are there other...