Lucas Dammert
Papers
2
Total Citations
3
H-Index
1
About
Lucas Dammert is a researcher advancing the precision and reliability of unmanned aerial system (UAS) navigation through innovative sensor fusion. His primary research areas encompass trajectory estimation, decentralized multi-sensor systems, and the application of robotic total stations (RTS) for high-accuracy positioning, particularly in environments where Global Navigation Satellite Systems (GNSS) are unavailable or degraded. Dammert’s major contribution lies in systematically reviewing and simulating how RTS can be integrated with UAS platforms to achieve robust, real-time trajectory determination. His 2025 review paper, which has already garnered 2 citations, provides a foundational thematic analysis of decentralized multi-sensor architectures, while his subsequent numerical simulation study (1 citation) offers critical sensitivity analysis to optimize system performance. These works are notable for bridging the gap between traditional geodetic instruments and modern autonomous aerial systems, offering a practical pathway for infrastructure inspection, mapping, and search-and-rescue operations in GNSS-denied settings. Dammert’s research is impactful for students and engineers seeking to understand the trade-offs in sensor integration, and his early citation record signals growing recognition in the field of precision UAS navigation.
Research Focus
Key Achievements
Top Papers
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- 2