Advances in Drone-Based Ground-Penetrating Radar

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Researchers from the Moscow Institute of Physics and Technology have developed a smart ground-penetrating radar system mounted on aerial drones for remote detection of mines. This update came to light through the National Technology Initiative NTI Artificial Intelligence Competence Center at MIPT.

GPR, or ground-penetrating radar, is a device that identifies objects buried beneath soil, water, or snow. Like other radars, it sends a radio pulse and records the signal bounced back by anything beneath the surface. In ground-penetrating radar, the emission is directed straight downward, rather than up or sideways, explained Alexander Rodin, a leading expert at the NTI Artificial Intelligence Competence Center.

Rodin notes that the fundamental technology behind ground-penetrating radar has long been available, but the real breakthrough lies in how the data collected by the radar is gathered and processed with artificial intelligence. The integration of AI markedly speeds up the identification of targets, enabling faster responses to threats and hazards.

Such radar-equipped drones are poised to play a significant role in humanitarian demining efforts, particularly in regions affected by conflict. They can help clear areas of explosive remnants and ensure civilian safety more efficiently, a mission Rodin emphasizes.

Beyond mines, the concept envisions drones carrying gas analyzers alongside ground-penetrating radar. This multi-sensor approach would not only locate explosive devices but also identify the chemical signatures and types of explosives involved. The combined data from radar and gas sensors would streamline field operations for military and emergency services, reducing risk during demining by providing more precise targeting and situational awareness. The overarching goal is to accelerate response times while minimizing danger for operators and communities alike.

Earlier demonstrations in Kazan highlighted a wired aerial drone capable of performing tasks that could substitute for traditional traffic cameras, illustrating a broader trend toward sensor-rich, autonomous aerial systems that yield real-time intelligence for diverse civilian and security applications.

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