LIDAR

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.

This paper presents an approach to improving mobile robot localization by filtering dynamic objects using camera image segmentation. The proposed algorithm integrates a Particle Filter with state-of-the-art computer vision techniques, specifically employing the YOLO model for segmentation, which effectively differentiates static elements of the environment from moving objects. This approach reduces the impact of noisy data and enhances localization accuracy in dynamic conditions, which is crucial for the reliable autonomous operation of mobile robots.

3D visualizations are source of relevant and useful information for economy as well as for town and country planning. Methods of presentation of points cloud data acquired from aerial laser scanning (LIDAR) with application of rendering and animation were devised.