RGB-D Camera-based Navigation for Autonomous Underwater Inspection using Low-cost Micro AUVs
Daniel A Duecker, Tim Hansen, Edwin Kreuzer
- Year
- 2020
- Citations
- 10
Abstract
Commercial RGB-D cameras enable even small scale mobile robots with sophisticated and cost-efficient 3D-scanning capabilities. We transfer this sensory concept to the domain of underwater structure inspections. Hereby, we address the problem of autonomous robot navigation at close distance to the inspected structure. Therefore, we propose a depth-camera based lightweight online planning and navigation methodology which enables micro autonomous underwater vehicles (μAUVs) to autonomously inspect structures with unknown geometry. We demonstrate the effectiveness of our approach in simulation and experiments and discuss the results in the context of prior work. All software and hardware designs used in this work will be made available online.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991