Innovation through SLAM technology

MBCD harnesses Simultaneous Localisation and Mapping — SLAM — to push the boundaries of spatial awareness in dynamic, GPS-denied and complex environments. By continuously building and refining a map of the surroundings while tracking position within it in real time, SLAM enables precise navigation and 3D reconstruction without reliance on external infrastructure. Integrated with GNSS, LiDAR and inertial sensors, MBCD’s SLAM-based solutions open new possibilities across outdoor terrain documentation, facility mapping and autonomous machine operation where satellite signal alone is not sufficient.

Point cloud processing and 3D modelling methods

MBCD applies advanced point cloud processing techniques to transform raw LiDAR and sensor data into accurate, detailed 3D models of real-world spaces. From outdoor terrain and open landscapes to enclosed facilities and complex structures, our workflows handle dense, multi-source datasets — cleaning, classifying and georeferencing point clouds to produce high-fidelity surface models, volumetric representations and digital twins. These outputs serve as a reliable foundation for spatial analysis, change detection, engineering documentation and data-driven decision-making across a wide range of professional applications.

LiDAR technology for dual-use applications

MBCD focuses on the practical testing, analysis and methodological validation of handheld LiDAR scanners with SLAM (Simultaneous Localisation and Mapping) technology for 3D mapping of spaces and structures with dual-use potential. The core advantage of this approach lies in rapid deployment, significantly shorter data collection times and greater operational flexibility compared to traditional geodetic or stationary laser scanning methods — particularly in complex, extensive or access-restricted environments.

The solution covers the full workflow: from scanning and point cloud processing through to the application of AI methods for segmentation, classification, anomaly detection and spatial data interpretation. Key parameters of the system include portability and readiness for immediate field deployment, high point cloud density enabling identification of structural and technological elements, repeatability of measurements for change detection over time, and full output compatibility with CAD, BIM, GIS and digital twin platforms.

In the civilian domain the technology is applied to outdoor sports facilities — athletic tracks, football pitches, multifunctional grounds and ski race courses — providing a precise spatial record as a basis for asset registration, maintenance planning and modernisation. In the defence and security domain it supports the mapping and documentation of military facilities, underground spaces and infrastructure objects relevant to planning, monitoring and protection activities.

The innovative outcome of this work is a verified methodological and technological framework that moves handheld LiDAR and SLAM from a promising concept to a practically validated, deployable service — with further development potential towards automated AI-assisted processing and broader commercial application.