3 papers
cs.CV2026
Edged USLAM: Edge-Aware Event-Based SLAM with Learning-Based Depth Priors
Şebnem Sarıözkan, Hürkan Şahin, Olaya Álvarez-Tuñón +1
Conventional visual simultaneous localization and mapping (SLAM) algorithms often fail under rapid motion, low illumination, or abrupt lighting transitions due to motion blur and l…
cs.RO2025
Monocular visual simultaneous localization and mapping: (r)evolution from geometry to deep learning-based pipelines
Olaya Alvarez-Tunon, Yury Brodskiy, Erdal Kayacan
With the rise of deep learning, there is a fundamental change in visual SLAM algorithms toward developing different modules trained as end-to-end pipelines. However, regardless of…
cs.RO2024
Mission Planning and Safety Assessment for Pipeline Inspection Using Autonomous Underwater Vehicles: A Framework based on Behavior Trees
Martin Aubard, Sergio Quijano, Olaya Álvarez-Tuñón +3
The recent advance in autonomous underwater robotics facilitates autonomous inspection tasks of offshore infrastructure. However, current inspection missions rely on predefined pla…