SLAM using an Imaging Sonar for Partially Structured Underwater Environments

In this paper we describe a system for underwater navigation with AUVs in partially structured environments, such as dams, ports or marine platforms. An imaging sonar is used to obtain information about the location of planar structures present in such environments. This information is incorporated...

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Detalles Bibliográficos
Autores: Ribas Romagós, David, Ridao Rodríguez, Pere, Neira Parra, José, Tardós, Juan Domingo
Tipo de recurso: artículo
Fecha de publicación:2006
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10256/2307
Acceso en línea:http://hdl.handle.net/10256/2307
Access Level:acceso abierto
Palabra clave:Robots mòbils -- Sistemes de control
Imatges -- Processament
Sistema de posicionament global
Vehicles submergibles
Global Positioning System
Image processing
Mobile robots -- Control systems
Submersibles
Fons marins -- Mapes
Ocean bottom -- Maps
Algorismes computacionals
Computer algorithms
Descripción
Sumario:In this paper we describe a system for underwater navigation with AUVs in partially structured environments, such as dams, ports or marine platforms. An imaging sonar is used to obtain information about the location of planar structures present in such environments. This information is incorporated into a feature-based SLAM algorithm in a two step process: (I) the full 360deg sonar scan is undistorted (to compensate for vehicle motion), thresholded and segmented to determine which measurements correspond to planar environment features and which should be ignored; and (2) SLAM proceeds once the data association is obtained: both the vehicle motion and the measurements whose correct association has been previously determined are incorporated in the SLAM algorithm. This two step delayed SLAM process allows to robustly determine the feature and vehicle locations in the presence of large amounts of spurious or unrelated measurements that might correspond to boats, rocks, etc. Preliminary experiments show the viability of the proposed approach