Emesent’s Automated Ground Control is an innovative feature that further increases the accuracy of Hovermap point clouds and enhances the capabilities of its SLAM-based mapping. It enables new scanning opportunities and use cases, including long, large, and feature-poor assets such as roads, and tunnels – which where previously a challenge for SLAM-based mapping.
Using machine learning, Ground Control automatically detects reflective ground control targets and uses these to both georeference the point cloud and improve accuracy. Targets are detected without needing to stop or place Hovermap on them, enabling non-stop scanning – a first for SLAM-based mobile mapping. Scanned survey coordinates are input for processing by simply selecting the file, minimising manual error and streamlining the workflow, eliminating manual error and streamlining workflow.
