Adam Baxmeyer
Papers
1
Total Citations
4
H-Index
1
About
Adam Baxmeyer is a researcher specializing in aviation safety and unmanned aircraft systems (UAS) applications. His primary research focuses on the calibration and performance evaluation of airport visual navigation aids, particularly the Precision Approach Path Indicator (PAPI). His most notable contribution is the development of a novel UAS-based methodology for measuring glide slope angles of PAPI systems, offering a safer, more efficient, and cost-effective alternative to traditional ground-based inspection methods. This work, published in 2020, has garnered 4 citations, establishing a foundation for integrating drone technology into routine airport infrastructure maintenance. Baxmeyer’s research directly addresses critical safety concerns in aviation, ensuring pilots receive accurate visual guidance during approach and landing. By pioneering the use of UAS for precision measurement of visual glide slope indicators, he has opened new avenues for automated airfield inspections, reducing human risk and operational downtime. His work is particularly valuable for students and researchers interested in the intersection of aviation safety, remote sensing, and UAS engineering, demonstrating how emerging technologies can solve longstanding challenges in airport operations.
Research Focus
Key Achievements
Top Papers
- 1