Paulina Kujawa

Wrocław University of Science and Technology

Papers

1

Total Citations

11

H-Index

1

About

Paulina Kujawa is a leading researcher in mobile mapping and autonomous navigation, with a primary focus on advancing multi-sensor 3D mapping technologies for unmanned ground vehicles. Her most cited work, the "MIN3D Dataset," addresses critical barriers in the field by providing a comprehensive, open-access resource that integrates data from diverse sensors—including LiDAR, cameras, and IMUs—under challenging environmental conditions. This contribution is pivotal for developing and benchmarking robust SLAM and perception algorithms, directly tackling the high costs and limited site accessibility that often stifle research progress. With over 11 citations on this key paper alone, Kujawa’s work is already shaping how the robotics and geomatics communities approach real-world mapping validation. Her achievements underscore a commitment to democratizing high-quality research data, enabling reproducible science and accelerating innovation in autonomous systems. For students and researchers, Kujawa exemplifies how thoughtful dataset creation can bridge the gap between theoretical algorithms and practical deployment in unstructured terrains.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
MIN3D Dataset: MultI-seNsor 3D Mapping with an Unmanned Ground Vehicle
11 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Wrocław University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago