хмара точок

Digital mapping of territories using SLAM technology: analysis of the accuracy of the results obtained

The article addresses the issues of digital mapping of territories using modern equipment and innovative methods for performing topographic and geodetic work. Objective: To study modern territorial mapping methods and justify mapping approaches using SLAM technology. Methods and Results: The study employed a territorial mapping method using handheld laser scanners with SLAM technology. Terrain reconnaissance was conducted, control geodetic points were established, and fieldwork was performed using a Stonex X120GO scanner.

Energy Efficient RANSAC Algorithm for Flat Surface Detection in Point Clouds

Mobile robots control systems achieve greater efficiency through the use of robust environmental analysis algorithms based on data collected from optical sensors such as depth cameras, Light Detection and Ranging sensors (LIDARs). These data sources provide information about control object environment in point cloud. The work of such algorithms, as a rule, is aimed at detecting the objects of interest and searching for the specified objects, as well as relocating its own position on the scene.

Accuracy investigation of point clouds with Faro Focus 3d S120 terrestrial laser scanner

Aim. Terrestrial laser scanning is a powerful method for collecting spatial data. This method of remote sensing allows fast, non-contact and precise measurement of objects. Terrestrial laser scanning systems deliver 3D coordinates and the power of the backscattered laser scan signal of each point which registered it as an intensity value. Intensity values are affected by the characteristic of the measured object and the parameters of the environment.