Study on the Application of Simultaneous Localization and Mapping Solution for Surveying Tasks: A Case Study of RS10 3D Handheld SLAM

The article assesses the suitability of handheld SLAM for surveying tasks, focusing on visual observation and elevation accuracy from point cloud data. The study uses an RS10 handheld SLAM device, an integrated solution of GNSS technology, IMU sensors and three cameras to scan about one hectare using either real-time kinematic or post-processing kinematic working modes at approximately 4 Km/h speed. The elevations extracted from point cloud data are compared to those of 108 checking points measured by GNSS-RTK single base with 4G working mode at a close distance. Results showed the RS10's feasibility for surveying due to its accuracy and visual capabilities. Using different thresholds for assessment shows that 50 points (46.3%) deviate ≤ 0.010 m. 87 points (80.56%) deviate ≤ 0.020 m. 98 points (90.74%) deviate ≤ 0.030 m. 106 points (98.15%) deviate ≤ 0.040 m. Only points 85 (0.045 m) and 91 (0.052 m) deviate significantly. The standard deviation of 108 checking points is only 0.016 m. These results, excellent even without control points to adjust elevation elements, highlight the RS10's ability to provide detailed, feature-rich point cloud data along the scanning route.