Year: 2020
Type: article
Abstract: . Although fully autonomous mapping methods are becoming more and more common and reliable, still the human operator is regularly employed in many 3D surveying missions. In a number of underwater applications, divers or pilots of remotely operated vehicles (ROVs) are still considered irreplaceable, and tools for real-time visualization of the mapped scene are essential to support and maximize the navigation and surveying efforts. For underwater exploration, image mosaicing has proved to be a valid and effective approach to visualize large mapped areas, often employed in conjunction with autonomous underwater vehicles (AUVs) and ROVs. In this work, we propose the use of a modified image mosaicing algorithm that coupled with image-based real-time navigation and mapping algorithms provides two visual navigation aids. The first is a classic image mosaic, where the recorded and processed images are incrementally added, named 2D sequential image mosaicing (2DSIM). The second one geometrically transform the images so that they are projected as planar point clouds in the 3D space providing an incremental point cloud mosaicing, named 3D sequential image plane projection (3DSIP). In the paper, the implemented procedure is detailed, and experiments in different underwater scenarios presented and discussed. Technical considerations about computational efforts, frame rate capabilities and scalability to different and more compact architectures (i.e. embedded systems) is also provided.
Authors: E. Nocerino, F. Menna, B. Chemisky, P. Drap
Language: English
Subfield: Ocean Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
Funders: National Science Foundation, Gordon and Betty Moore Foundation, Aix-Marseille Université, Università Degli Studi di Modena e Reggio Emila, University of Waikato, Antarctica New Zealand, Agence Nationale de la Recherche, Eidgenössische Technische Hochschule Zürich, Ministry of Business, Innovation and Employment, Centre National de la Recherche Scientifique, University of California, Santa Barbara, Marine Science Institute, University of California, Santa Barbara
OpenAlex ID: W3048966749