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Session 10.4.5 Autonomous underwater vehicles 5
Session
Co-Chair(s)
Roberto Petroccia
Chengke Xiong
Day Wednesday, May 30, 2018
Time 15:30 - 17:10
Room Room 502
PAPERS
 
Presenting Author: Chengke Xiong, Shanghai Jiao Tong University
Author(s) Chengke Xiong, Shanghai Jiao Tong University
Zheng Zeng, Shanghai Jiao Tong University
Lian Lian, Shanghai Jiao Tong University

Paper Title Path Planning of Multi-modal Underwater Vehicle for Adaptive Sampling Using Delaunay Spatial Partition-Ant Colony Optimization
 
 
Presenting Author: Yingxiang Wang, Northwestern Polytechnical University
Author(s) Yingxiang Wang, Northwestern Polytechnical University
Weisheng Yan, Northwestern Polytechnical University
Jian Gao, Northwestern Polytechnical University
Hong Yue, University of Strathclyde

Paper Title Neural Network-Based Visual Positioning Control of Unmanned Underwater Vehicles with Thruster Time Delay
 
 
Presenting Author: Maksim Sporyshev, Far Eastern Federal University
Author(s) Alexander Scherbatyuk, Institute for Marine Technology Problems FEB RAS
Alexey Borovik, IMTP FEB RAS
Alexander Inzartsev, IMTP FEB RAS
Maksim Sporyshev, Far Eastern Federal University
Alexander Kamorniy, IMTP

Paper Title Some Results of the Ecological Investigation in Zolotoy Rog Bay using AUV MMT 3000
 
 
Presenting Author: Roberto Petroccia, NATO STO Centre for Maritime Research and Experimentation
Author(s) Roberto Petroccia, NATO STO Centre for Maritime Research and Experimentation
Jan Sliwka, NATO STO Centre for Maritime Research and Experimentation
Alberto Grati, NATO STO Centre for Maritime Research and Experimentation
Vittorio Grandi, NATO STO Centre for Maritime Research and Experimentation
Piero Guerrini, NATO STO Centre for Maritime Research and Experimentation
Andrea Munafo, National Oceanography Centre
Marin Stipanov, NATO STO Centre for Maritime Research and Experimentation
Joao Alves, NATO STO Centre for Maritime Research and Experimentation
Robert Been, NATO STO Centre for Maritime Research and Experimentation

Paper Title Deployment of a Persistent Underwater Acoustic Sensor Network: The CommsNet17 Experience
 
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