Localization, Mapping and SLAM in Marine and Underwater Environments

• その他の著者: Burguera, Antoni (編集者), Bonin-Font, Francisco (編集者)
• フォーマット: 電子媒体 図書の章
• 言語: 英語
• 出版事項: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• 主題: 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
• オンライン･アクセス: DOAB: download the publication; DOAB: description of the publication

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 env...