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:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.

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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 ![image](https://user-images.githubusercontent.com/23071439/154638382-59c46827-57a1-4543-ad55-02e389fe5760.png)

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. ![Screenshot from 2022-02-13 14-23-21](https://user-images.githubusercontent.com/38452932/153741550-d17c2326-2987-4760-a7b8-e308db83d466.png)

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...