Editorial: Unmanned marine vehicles for ocean observation

Résumé fourni par la source

Babiarz et al. designed a five degrees of freedom (5DoF) underwater manipulator system for underwater vehicles, that imitates the movements of the human arm based on signals from IMU sensors. Compared to the control of a manipulator using keyboards or joysticks, the developed control system significantly facilitated the manipulation process.Wang et al. proposed a U-shaped generative adversarial network with multi-scale and an attention mechanism for image feature extraction. Multi-scale dilated convolution modules, novel attention modules, and residual modules were introduced in the proposed network, to address degraded underwater images caused by due light absorption and scattering for better quality and visual effects.Mei et al. presented a coarse-to-fine localization method (CFLM) to achieve accurate acoustic localization in underwater wireless sensor networks (UWSNs). They reformulated the localization problem into an alternating non-negative constrained least squares (ANCLS) framework and then solved it by combining constrained ellipse fitting and Taylor series expansion.Chen et al. developed a terrain-aided navigation (TAN) system for underwater vehicles. This TAN system used a multi-beam echosounder to measure the bathymetry of the seabed in real time and estimated the position of the vehicle using a Markov random field model, considering the strong correlation between the terrain data. The accuracy of the designed TAN system was tested using the playback experiments.Wang et al. described calibration and planning strategies based on error models and acoustic positioning, to yield accurate navigational results in underwater full-coverage scanning scenarios where stealth is considered. Especially, a path planning method using a traceless Kalman filter and acoustic localization is proposed to achieve full-area coverage of AUVs. The Guest Associate Editors express their gratitude to all the authors and reviewers for their hard work on this Research Topic. We are hopeful that this will serve as a catalyst for future research in unmanned marine vehicles for ocean observation missions.

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