Marcus Reutemann

John Deere (Germany)

Papers

1

Total Citations

22

H-Index

1

About

Marcus Reutemann is a leading figure in precision geospatial metrology, specializing in the integration of advanced sensor systems for high-accuracy 3D positioning. His most impactful work centers on the dynamic calibration and assessment of total stations—a cornerstone of modern surveying and engineering. In his landmark 2017 study, Reutemann pioneered a novel method using an industrial robotic arm to evaluate total station performance in real-world, in-field conditions, achieving sub-centimetre accuracy. This contribution is critical for applications ranging from large-scale infrastructure monitoring to autonomous construction, where reliable, dynamic positioning is essential. With over 20 citations, this paper has become a key reference for researchers seeking to bridge the gap between static laboratory calibration and dynamic field deployment. Reutemann’s work not only advances the theoretical understanding of sensor errors but also provides practical, reproducible methodologies that enhance the reliability of geospatial data. His research continues to influence the development of next-generation positioning systems, making him a vital voice in the evolution of precise 3D measurement technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
22
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Total station data assessment using an industrial robotic arm for dynamic 3D in-field positioning with sub-centimetre accuracy
22 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: John Deere (Germany)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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