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Lidar is also widely used in the field of unmanned AGV cars

Lidar is also widely used in the field of unmanned AGV cars

Core Abstract: Laser SLAM is the mainstream technical means of robot positioning navigation. The role of laser radar is naturally self-evident. In addition to the robot industry, laser radar is widely used in the fields of driverless, AGV, etc. Practitioners are smarter and more efficient...

  Laser SLAM is currently the mainstream technical means of robot positioning and navigation. The role of laser radar is naturally self-evident. In addition to the robot industry, laser radar is widely used in the fields of driverless, AGV and other vehicles to help practitioners. Intelligent and efficient processing of lidar data, a variety of laser radar data processing software has been bred on the market. The following are mainly recommended for users who are exposed to laser radar.



1.GlobalMapperLiDARModule

 
It is no exaggeration to describe the GlobalMapperLiDARModule with the "Swiss Army Knife", so it is also worth the space of the computer hard disk. After undergoing an important upgrade, this module can quickly identify and classify unclassified lidar point cloud data to distinguish between buildings and vegetation. At the same time, in order to establish a three-dimensional vector building and tree model and improve the automatic classification processing of ground point cloud data, the module also provides new tools for automatic feature extraction. In addition, the module provides a series of post-processing tools for the user, including querying, filtering, editing, reclassifying and outputting laser lightning data.

2.LizarTech
LizarTech has a number of Lidar-related solutions that help users make effective use of radar data, including their Lidar Compressor. This tool can compress the size of the data file by 75%, but it will not cause data loss or affect the accuracy and accuracy of the data. In addition, LizarTech has launched a new solution, GeoGoferSolution, which uses powerful search and filtering capabilities to find lidar images based on keywords, projections, file formats, and other forms of features, without having to, as before. Locate your data by searching the entire hard drive.

3.RiALITY
RiALITY is a revolutionary Lidar data visualization application launched by Riegl, which provides users with a new usage scenario, which is the first in the industry. The app also changed the way Lidar data is presented. Users only need an iPad to do it anytime, anywhere. In addition, support for true color point cloud data and 3D navigation is also a feature of RiALITY. A groundbreaking technology development is the introduction of the concept of augmented reality that maps point cloud data directly to the real world.
 
4.LiDARinArcGIS
 
ArcGIS provides many tools for managing radar point cloud data, some of which are very useful for scientific research and decision making. Esri specifically describes how to use ArcGIS to better handle lidar data on the official website. In addition, if you are interested, you can also watch the video provided by Esri.
 
5.LP360
 
With the help of LP360, ArcMap Basic Edition can become the world's most powerful GIS environment to process lidar point cloud data. Depending on the functionality implemented, LP360 offers three different solutions, from fast visualization to some extended product lines, including ground point cloud automatic classification, building space extraction, and more.
 
In addition to the above software, some domestic laser radar suppliers have also developed their own software for their own users, such as RoboStudio, which is based on Sibo Technology. RoboStudio currently establishes communication with robots and obtains sensor data from the interface provided by the robot. After re-processing the data information, such as the pose state and the map information, the user can also present the instructions to the mobile robot through RoboStudio through a friendly interface, thereby realizing visual monitoring of the robot. Based on pure software, it can flexibly add, edit, delete virtual walls, limit the range of robot activities, and realize the intelligent cruising function of mobile robots without additional auxiliary laying. When connecting/disconnecting the robot, the data can be synchronized in the cloud/local, and the current state and information of the robot can be obtained in time to facilitate the management of the mobile robot.