Vladimir Podolskiy

Technical University of Munich

Papers

1

Total Citations

2

H-Index

1

About

Vladimir Podolskiy is a researcher whose work centers on indoor mapping, spatial data quality, and geoinformatics. His major contribution lies in developing systematic methods to evaluate and quantify the quality of indoor maps—a critical yet often overlooked aspect of spatial data. In his notable 2019 paper, "Quantifying the Quality of Indoor Maps," Podolskiy addresses the challenge of assessing maps generated via laser scanning, which are essential for applications like navigation, building maintenance, and robotics. By proposing metrics and frameworks for quality assessment, his work helps ensure that indoor maps are not only geometrically accurate but also reliable for real-world use. Although his most-cited paper currently holds 2 citations, his research addresses a growing need as indoor positioning and mapping technologies expand. His contributions are particularly valuable for students and researchers in geoinformatics, robotics, and spatial data science, offering foundational insights into the often-underappreciated dimension of map quality.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
QUANTIFYING THE QUALITY OF INDOOR MAPS
2 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Technical University of Munich

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago