Results 61 to 70 of about 460 (124)
Deep Reinforcement Learning Controller for 3D Path Following and Collision Avoidance by Autonomous Underwater Vehicles. [PDF]
Havenstrøm ST, Rasheed A, San O.
europepmc +1 more source
Images were acquired by the DeepSurvey Camera on board GEOMAR's AUV Abyss. Nodules were delineated by the CoMoNoD algorithm [see related to references]. Result files are computed per AUV dive. Nodule detections below 5cm^2 are neglected as are detections
Schoening, Timm +1 more
core +1 more source
Autonomous Water Quality Monitoring and Water Surface Cleaning for Unmanned Surface Vehicle. [PDF]
Chang HC +5 more
europepmc +1 more source
Simulation-based study of propulsion and control of an AUV in current-affected environments
This study presents a numerical investigation into the hydrodynamic behavior and control of an Autonomous Underwater Vehicle (AUV) operating in current-affected marine environments.
Mefti, Aymen +2 more
core +1 more source
Images were acquired by the DeepSurvey Camera on board GEOMAR's AUV Abyss. Nodules were delineated by the CoMoNoD algorithm [see related to references]. Result files are computed per AUV dive. Nodule detections below 5cm^2 are neglected as are detections
Schoening, Timm +1 more
core +1 more source
Path Following Based on Waypoints and Real-Time Obstacle Avoidance Control of an Autonomous Underwater Vehicle. [PDF]
Yao X, Wang X, Wang F, Zhang L.
europepmc +1 more source
Images were acquired by the DeepSurvey Camera on board GEOMAR's AUV Abyss. Nodules were delineated by the CoMoNoD algorithm [see related to references]. Result files are computed per AUV dive. Nodule detections below 5cm^2 are neglected as are detections
Schoening, Timm +1 more
core +1 more source
Motion simulation of sensor cable towed by X rudder AUV “YUMEIRUKA"
Masahiko Nakamura +4 more
openaire +2 more sources
Results of nodule detection along AUV track SO239_98-1_AUV8 (Abyss_174) during SONNE cruise SO239
Images were acquired by the DeepSurvey Camera on board GEOMAR's AUV Abyss. Nodules were delineated by the CoMoNoD algorithm [see related to references]. Result files are computed per AUV dive. Nodule detections below 5cm^2 are neglected as are detections
Schoening, Timm +1 more
core +1 more source
本发明提供一种基于对转桨加鳍舵的低速AUV航行控制方法,AUV(Autonomous Underwater Vehicle,自治水下航行器)载体的艉部安装对转螺旋桨(简称对转桨)和水平舵垂直舵。在每个控制周期内,对纵倾角、航向角、纵倾角速度、航向角速度、深度、高度进行测量,计算出控制值,确定所需水平舵角和垂直舵角的角度值,并控制水平舵电机和垂直舵电机,使得水平舵板和垂直舵板转动到目标角度;确定对转桨的转速,使对转桨达到目标转速。从而使AUV能够稳定的航行。本发明逻辑简单、计算量小 ...
郑荣 +6 more
core

