Title
Development and demonstration of a live data streaming capability using an underwater acoustic communication link
Author
Binnerts, B.
Mulders, I.
Blom, K.
Colin, M.
Dol, H.
Publication year
2018
Abstract
Autonomous Underwater Vehicles (AUVs) offer an automated solution for the collection of environmental data underwater. While they provide an effective solution in scenarios where their task is limited to basic sensor data collection, supervisory control by an operator is still needed to make more complicated decisions. Because raw data of camera and sonar data is too large in size to be communicated acoustically underwater, the assessment of data is performed post mission. This delayed access can however lead to ineffective data collection (if the data quality is found to be insufficient post mission) and longer operations that depend on the data can only be done after the data has been collected. In order to enhance the situational awareness and decision-making capabilities of AUV operators, we investigate and demonstrate in this paper the feasibility of underwater acoustic streaming of camera and sonar data. First, the performance of the underwater acoustic MSFRSS modulation is investigated by means of channel replay simulations. Next, the efficiency of the JPEG 2000 image compression and HEVC video compression protocols is analysed. Finally, the combined performance of these two technologies is tested in the TNO anechoic basin (water tank) using a demonstration setup. Although further tests of the system under more realistic operational conditions are needed to quantify its performance, the first results are promising and indicate that live underwater acoustic streaming is a realistic future capability of AUVs.
Subject
Autonomous underwater vehicles
Data compression
Replay simulations
Streaming
Underwater acoustic communication
Acoustic streaming
Cameras
Data acquisition
Data compression
Decision making
Experiments
Image compression
Oceanography
Sonar
Water tanks
Automated solutions
Autonomous underwater vehicles (AUVs)
Realistic operational conditions
Replay simulations
Sensor data collections
Situational awareness
Supervisory control
Underwater acoustics
To reference this document use:
http://resolver.tudelft.nl/uuid:0bef5257-617b-492a-b6a1-df292b2d60a2
TNO identifier
954943
Publisher
Institute of Electrical and Electronics Engineers Inc.
ISBN
9781538616
Source
2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018, 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018, 28 May 2018 through 31 May 2018
Document type
conference paper