Ariane Spaenlehauer
Papers
1
Total Citations
4
H-Index
1
About
Ariane Spaenlehauer’s research centers on sensor fusion and metric scale estimation in monocular vision-inertial systems—a critical challenge for autonomous navigation and robotics. In her most-cited work, “A loosely-coupled approach for metric scale estimation in monocular vision-inertial systems” (2017), she developed a method that fuses inertial measurements with monocular odometry or tracking to resolve the inherent scale ambiguity in monocular vision. This approach enables accurate metric distance estimation without requiring prior knowledge of scene geometry, addressing a key limitation for applications like drone navigation, augmented reality, and mobile robotics. While her citation count (4) reflects a focused contribution, the work is notable for its practical, loosely-coupled framework that simplifies integration into existing systems. Spaenlehauer’s contributions are particularly valuable for researchers working on low-cost, lightweight visual-inertial systems where precise metric scaling is essential. Her work bridges theory and application, offering a robust solution to a persistent problem in computer vision and robotics.
Research Focus
Key Achievements
Top Papers
- 1