Asset Extraction Module FAQ
1.What is the efficiency of element extraction, and how does the AI method for element extraction adapt to various scenarios?
- In response to the problems of large data volume, multiple element types, and low extraction efficiency in mobile mapping point cloud processing, LiDAR360MLS software provides a variety of automatic extraction functions based on AI methods, such as point cloud classification, road marking extraction, and road facility extraction, etc. Among them, road facility extraction utilizes panoramic images and road signs for multi-target extraction. Among them, road facility extraction utilizes panoramic images and point clouds for multi-target extraction. The existing AI models in the software are trained using the existing data of Digital Green Earth. Since version V8.0, the software supports customized sample annotation and training of map elements and road facilities, so that users can train their own models according to their own data and recognition needs.
2.How can I check which layers are stored in all the element vectors automatically extracted from the Map Elements page?
- Use the point-and-click function in the vector selection, click on the object you want to query, and the software will automatically open the attribute table of the layer where the current project is located, so you can find out which layer it is stored in.
3.Can I store the automatically extracted vectors to the specified layer?
- Some of the automatic extraction functions of the software can't specify the layer to store inside the function, but the user can right click on the layer to rename the layer and modify it to the desired layer name to realize the purpose of specifying the layer to store.
Other specific functionality related issues and solutions for the asset extraction module can be found in detail: