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A Display-Based Testbed for Bridging the Gap between Drone Simulation and Real-World Testing

Kai Cai, Renma Hara

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AI summary

Key figure (auto-extracted from paper)
A compact display-based testbed successfully bridges simulation and reality by integrating real drone flight with dynamic virtual environments and AR positioning.
Drone testbed Simulation-to-reality Display-based environment AR positioning Indoor flight Robotics validation

Problem

Real-world drone testing is constrained by safety, legal, and spatial limitations, while pure simulations fail to capture realistic physical dynamics and sensing noise.

Approach

The system uses a horizontal display to render virtual environments that shift dynamically as a real drone flies over it, with AR markers enabling precise position estimation and closed-loop control.

Key results

  • Successful obstacle-avoidance delivery navigation
  • Systematic farmland monitoring path execution
  • Disaster zone search and mapping operations
  • Effective closed-loop control bridging physical flight and virtual rendering

Why it matters

Enables safe, low-cost, and space-efficient validation of drone algorithms and sensing effects for researchers and developers.

Abstract

No abstract on file.

Index terms

Education Robotics Discrete Event Dynamic Automation Systems Task Planning

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