Operator interface for UAV-based ground-penetrating radar: planning, visualization, and reporting

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Abstract

Presented is the development of an operator-oriented user interface (UI) for visualization and control of territory surveys using an unmanned aerial vehicle (UAV) equipped with ground-penetrating radar (GPR) and additional sensor subsystems (magnetometer, metal detector, optical camera, inertial navigation system (INS)). The solution targets humanitarian demining and subsurface mapping tasks. The interface implements the full operator workflow — "route planning → execution → archive/reporting → settings/diagnostics" — supports geo-referenced multichannel data (B-scans — profile radargrams, magnetic and induction profiles, photologging), and stores results in a normalized relational database (DB). The system architecture is oriented to the GPR signal chain ("antennas → receiver → digitization → processing → integration") with time and position synchronization (GPS/GLONASS). Tools are provided for generating unified reporting materials: a track map, a table of detected objects (type, depth, coordinates, confidence level), and attachments with raw radargrams and images. It is shown that an operator-centered interface reduces cognitive load and improves process observability through structured visualization and consistent interaction scenarios. This enables reproducible operational evaluation and preparation for field trials. The approach is consistent with current practices of integrating GPR + UAV and multisensor complexes in applied object detection and classification tasks [1—4, 11—12].

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About the authors

D. A. Martynov

Research, Design and Technology Center, LLC

Author for correspondence.
Email: martynov@rdtcenter.com

General Director

Russian Federation, Tula

I. A. Borisova

Research, Design and Technology Center, LLC

Email: borisova@rdtcenter.com

Deputy General Director

Russian Federation, Tula

References

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Supplementary files

Supplementary Files
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1. JATS XML
2. Fig. 1. Main: map of completed routes

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3. Fig. 2. New route

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4. Fig. 3. Examination Report

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5. Fig. 4. Settings — Equipment and Channels

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6. Fig. 5. Settings — Detection Parameters

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7. Fig. 6. Settings — Error Report

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