التفاصيل البيبلوغرافية
| العنوان: |
Utilizing Drone-Based Ground-Penetrating Radar for Crime Investigations in Localizing and Identifying Clandestine Graves. |
| المؤلفون: |
Lijcklama à Nijeholt, Louise, Kronshorst, Tasha Yara, Teeffelen, Kees van, van Manen, Benjamin, Emaus, Roeland, Knotter, Jaap, Mersha, Abeje |
| المصدر: |
Sensors (14248220); Aug2023, Vol. 23 Issue 16, p7119, 23p |
| مصطلحات موضوعية: |
GROUND penetrating radar, CRIMINAL investigation, CRIME scene searches, GLOBAL Positioning System, SOFTWARE localization |
| مستخلص: |
The decomposition of a body is influenced by burial conditions, making it crucial to understand the impact of different conditions for accurate grave detection. Geophysical techniques using drones have gained popularity in locating clandestine graves, offering non-invasive methods for detecting surface and subsurface irregularities. Ground-penetrating radar (GPR) is an effective technology for identifying potential grave locations without disturbance. This research aimed to prototype a drone system integrating GPR to assist in grave localization and to develop software for data management. Initial experiments compared GPR with other technologies, demonstrating its valuable applicability. It is suitable for various decomposition stages and soil types, although certain soil compositions have limitations. The research used the DJI M600 Pro drone and a drone-based GPR system enhanced by the real-time kinematic (RTK) global positioning system (GPS) for precision and autonomy. Tests with simulated graves and cadavers validated the system's performance, evaluating optimal altitude, speed, and obstacle avoidance techniques. Furthermore, global and local planning algorithms ensured efficient and obstacle-free flight paths. The results highlighted the potential of the drone-based GPR system in locating clandestine graves while minimizing disturbance, contributing to the development of effective tools for forensic investigations and crime scene analysis. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
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