Dataset of building parameter data for 2D/3D modeling acquired via UAVs and transmitted wirelessly from IoT ultrasonic sensors

In this dataset, we have collected a comprehensive collection of 8 tables of measurement records for each height level aimed at reconstructing a cross-sectional model of a corridor of a university building.
The data were recorded as the distances from the central axis of the corridor to the left and right boundaries, allowing for detailed profiling and defect detection. Reference control values were collected using a high-precision Laser range finder model HAUPTSON 70/100M OZ045. Measurements were taken at regular spatial intervals along the corridor to ensure an accurate representation of structural variations.
The dataset was structured with fields including point identifiers, longitudinal positions, distances to the left and right walls, reference values, and deviations. Furthermore, this dataset serves as the basis for tasks such as 2D/3D corridor modeling, anomaly detection, structural integrity analysis, and indoor navigation system modeling.