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Automotive Radar in a UAV to Assess Earth Surface Processes and Land Responses
Christoph Weber1, Johannes von Eichel-Streiber2, Jesús Rodrigo-Comino3,4
1Engineering, Computer Science and Economics, TH Bingen University of Applied Sciences, 55411 Bingen am Rhein, Germany.
Unmanned aerial vehicles (UAVs) equipped with low-cost automotive radar sensors offer a lightweight and precise solution for earth science research. This system enhances environmental monitoring and landform assessment capabilities.
Area of Science:
- Earth Science
- Environmental Monitoring
- Geomorphology
Background:
- Unmanned aerial vehicles (UAVs) are increasingly vital in earth science for monitoring environmental processes and landforms.
- Traditional professional radar sensors are expensive and difficult to handle, limiting their widespread use.
- There is a growing need for cost-effective and user-friendly radar solutions for UAV-based research.
Purpose of the Study:
- To develop a simplified and efficient radar system for UAVs using automotive radar technology.
- To introduce basic radar techniques and present specifications of two novel radar sensors.
- To demonstrate the functionality and suitability of the developed system for earth science applications.
Main Methods:
- Development of a lightweight recording system integrating automotive radar sensors and a camera.
- Integration of the system into a UAV, with total system weights of 315g (small radar) and 450g (large radar).
- Conducting test flights and verification flights with both radar sensors to collect and analyze data.
Main Results:
- The developed recording system successfully captured radar data during UAV flights.
- The lightweight radar sensors proved suitable for integration and operation on UAVs.
- The system demonstrated autonomy, precision, and lightweight characteristics, essential for field research.
Conclusions:
- The developed UAV-based radar system is a viable and effective tool for earth science research.
- Automotive radar technology offers a promising, low-cost alternative for advanced environmental monitoring and landform analysis.
- The system's performance indicates its potential for future autonomous and precise earth observation missions.
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