The Widely scalable Mobile Underwater Sonar Technology (WiMUST) H2020 project: first year status

The Widely scalable Mobile Underwater Sonar Technology (WiMUST) project aims at developing a system of cooperative Autonomous Underwater Vehicles (AUVs) for geotechnical surveying and geophysical exploration. The paper reports about the first year activities and it gives an overview of the main objectives and methods. Results relative to distributed sensor array, cooperative control, mission planning, communications and preliminary experiments are summarized

Widely scalable mobile underwater sonar technology: an overview of the H2020 WiMUST project

The Widely scalable Mobile Underwater Sonar Technology (WIMUST) project is an H2020 Research and Innovation Action funded by European Commission. The project aims at developing a system of cooperative autonomous underwater vehicles (AUVs) for geotechnical surveying and geophysical exploration. The paper describes the main objectives of the project, given an overview of the methodologies adopted to achieve them, and summarizes the work done in the first year of R&D work

Overview and first year progress of the Widely scalable Mobile Underwater Sonar Technology H2020 project

open20siPubblicazione su rivista di contributo a Convegno -10th IFAC Conference on Control Applications in Marine Systems (CAMS2016)The Widely scalable Mobile Underwater Sonar Technology (WiMUST) project is an H2020 Research and Innovation Action funded by the European Commission. The action's main goal is to develop robotic technologies exploiting Autonomous Underwater Vehicles (AUVs) for geotechnical surveying and geophysical exploration. The paper briefly describes the project and its state of the art after the first year of activities.openIndiveri, Giovanni; Antonelli, Gianluca; Arrichiello, Filippo; Caffaz, Andrea; Caiti, Andrea; Casalino, Giuseppe; Volpi, Nicola Catenacci; de Jong, Ivan Bielic; De Palma, Daniela; Duarte, Henrique; Gomes, Joao Pedro; Grimsdale, Jonathan; Jesus, Sergio; Kebkal, Konstantin; Kelholt, Elbert; Pascoal, Antonio; Polani, Daniel; Pollini, Lorenzo; Simetti, Enrico; Turetta, AlessioIndiveri, Giovanni; Antonelli, Gianluca; Arrichiello, Filippo; Caffaz, Andrea; Caiti, Andrea; Casalino, Giuseppe; Volpi, Nicola Catenacci; de Jong, Ivan Bielic; De Palma, Daniela; Duarte, Henrique; Gomes, Joao Pedro; Grimsdale, Jonathan; Jesus, Sergio; Kebkal, Konstantin; Kelholt, Elbert; Pascoal, Antonio; Polani, Daniel; Pollini, Lorenzo; Simetti, Enrico; Turetta, Alessi

Phase Based Localization for Underwater Vehicles Using Interval Analysis

International audienceThis paper addresses the common issue of locating an Underwater Vehicle (UV). Usually, the positioning of a vehicle is based on the propagation of electromagnetic waves, using systems such as the Global Positioning System (GPS). However, water, and particularly salty water, makes the use of electromagnetic waves impractical due to the attenuation caused by the high conductivity of the medium. Hence, the most reliable way to transmit information underwater is by using sound waves and many technologies have emerged to solve the positioning problem in this way. Technologies such as Long BaseLine (LBL), Short BaseLine (SBL) and Ultra-Short BaseLine (USBL) are the most frequently used underwater. These technologies are based on the use of multiple emitters in the case of LBL and SBL, or multiple receivers in the case of USBL. This paper describes a way of finding a vehicle location, on-board, based on the measurement at the vehicle by a single receiver of the phase of an acoustic sine wave transmitted from a single emitter that is at a fixed and known location. The method also uses other proprioceptive measurements: vehicle's velocity and heading. An algorithm based on contractors and bisections scatters the solution space searching for all possible solutions (positions in this case) to the set of equations. Moreover, this paper introduces the Time Constraint Satisfaction Problem (TCSP). Indeed, the proposed algorithm does not compute the solutions from measurements at a single point in time, rather it uses a set of measurements taken over a time window and stored in a buffer. As a result, the location is not only known at the latest instant but the past locations can be tracked back over the length of the chosen time window