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
Localization, Mapping and SLAM in Marine and Underwater Environments
2022
1 Online-Ressource (146 p.)
Book
Electronic Resource
Unknown
visual loop closure , acoustic image segmentation , History of engineering & technology , subspace scanning , meta-EP PSO , autonomous navigation , channel model , interference-plus-noise covariance matrix , underwater perception , Technology: general issues , array errors , underwater robotics , underwater acoustic signal processing , steering vector mismatch , range sensing , multi robot , inspection and maintenance , electric field , image global signatures , robust adaptive beamforming , 3D vision , sonar , computer vision , underwater localization , Simultaneous Localization and Mapping , deep learning , point cloud segmentation , pipe and valve recognition , passive detection , neural network , signal enhancement , signal denoising
DDC: | 629.892 |
Localization, Mapping and SLAM in Marine and Underwater Environments
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