Dataset of building parameters collected by UAV with wireless data transfer from IoT ultrasonic sensors and a single-board computer for 2D/3D modeling

In this dataset, we have collected a comprehensive collection of 3525 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 (Auto level distance meter) model LOMVUM LV66u. At the same time, the current measurements were obtained using a Raspberry Pi 5 single-board computer and HC-SR04 ultrasonic sensors on a mobile survey platform. This construction developed by the authors was attached to the body of a DJI Phantom 4 drone, operating in controlled indoor conditions on the 5th floor of a university building. 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 (e.g., in Maple Software, MATLAB), anomaly detection, structural integrity analysis, and indoor navigation system modeling.