Luiza Ribeiro Marnet

Papers

1

Total Citations

16

H-Index

1

About

Luiza Ribeiro Marnet is a leading researcher in underwater robotics and autonomous navigation, with a focus on bridging the gap between simulation and real-world applications. Her most notable contribution is the development of MIMIR-UW, a multipurpose synthetic dataset for underwater navigation and inspection, which has already garnered 16 citations since its 2023 publication. This dataset integrates three camera sensors, inertial measurements, and ground truth for robot pose, enabling advances in SLAM, depth estimation, and object segmentation. By providing a robust, high-fidelity simulation environment, Marnet’s work addresses critical challenges in underwater perception, where real-world data collection is costly and limited. Her research has significant implications for autonomous underwater vehicles used in ocean exploration, infrastructure inspection, and environmental monitoring. Marnet’s innovative approach to synthetic data generation has established her as a key figure in underwater robotics, with her work serving as a foundational resource for researchers seeking to develop and test algorithms in realistic underwater scenarios. Her contributions continue to drive progress in autonomous navigation and perception in challenging aquatic environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
16
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
MIMIR-UW: A Multipurpose Synthetic Dataset for Underwater Navigation and Inspection
16 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 6

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago