Localization, Mapping and SLAM in Marine and Underwater Environments

• Autres auteurs: Burguera, Antoni (Éditeur intellectuel), Bonin-Font, Francisco (Éditeur intellectuel)
• Format: Électronique Chapitre de livre
• Langue: anglais
• Publié: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Sujets: Technology: general issues; History of engineering & technology; underwater acoustic signal processing; channel model; signal enhancement; signal denoising; passive detection; underwater localization; electric field; subspace scanning; meta-EP PSO; multi robot; Simultaneous Localization and Mapping; visual loop closure; image global signatures; sonar; underwater robotics; acoustic image segmentation; neural network; robust adaptive beamforming; steering vector mismatch; interference-plus-noise covariance matrix; array errors; point cloud segmentation; deep learning; pipe and valve recognition; underwater perception; computer vision; autonomous navigation; range sensing; inspection and maintenance; 3D vision
• Accès en ligne: DOAB: download the publication; DOAB: description of the publication

Résumé

The use of robots in marine and underwater applications is growing rapidly. These applications share the common requirement of modeling the environment and estimating the robots' pose. Although there are several mapping, SLAM, target detection and localization methods, marine and underwater environments have several challenging characteristics, such as poor visibility, water currents, communication issues, sonar inaccuracies or unstructured environments, that have to be considered. The purpose of this Special Issue is to present the current research trends in the topics of underwater localization, mapping, SLAM, and target detection and localization. To this end, we have collected seven articles from leading researchers in the field, and present the different approaches and methods currently being investigated to improve the performance of underwater robots.

Description matérielle

1 electronic resource (146 p.)

ISBN

books978-3-0365-5498-3
9783036554983
9783036554976

Accès

Open Access