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Originally developed by the robotics industry, SLAM (Simultaneous Localisation and Mapping) technology is now increasingly used in surveying and autonomous driving technologies. SLAM Anchor solves a core problem that has long plagued robotics engineers. It enables a device to determine its location while mapping an unknown environment. This is done by sequencing millions of measurements to form a trajectory estimate.
Apart from this, the SLAM algorithm solves the following problems:
- Unknown space
- Uncontrolled camera
How Does DiConneX Use Slam Anchor for Methodical Scanning?
Numbered stickers are affixed to the mapping floor, marked for sequential laser reading and cross-referencing, as they are helpful in stitching the information together to form high quality point clouds. The minimum SLAM Anchor distance is 2 m, but the optimum working distance for the Anchor is 25 m. The NaVvis scan cart opens up to a height of 2.2 m and the maximum scalable height is 30 m.
To avoid drifts, the doors must be kept open to carry out the survey. All confidential information specific to the organization is kept away from the coverage area of scan carts due to the high resolution of the cameras. A total station is used to monitor the coordinates of SLAM-Anchor in the local coordinate system, which can be linked to the UTM coordinate system.
How Do Surveyors Position Slam Anchor with DiConneX?
The SLAM Anchors form the flow path for the NaVvis M6 trolley used by the DiConneX team. Images are taken between these points for 360 degree recording.
- Anchor points (control points) are evenly spaced and are located at the beginning and end of each data set.
- Each dataset consists of at least 3 SLAM anchor points, and datasets contain at least 2 common anchors for automatic alignment.
- To achieve high accuracy of the map, anchors are placed in a span of 25 metres and loops are run.
For this reason, SLAM technology is used extensively at DiConneX for 3D mapping and digital twinning. In this way, we are able to create error-free scans of large areas with highly accurate point cloud images.
Learn more about the application of SLAM technology in projects: