An affordable and portable autonomous surface vehicle with obstacle avoidance for coastal ocean monitoring

Carlson, Daniel F.; Fürsterling, Alexander; Vesterled, Lasse; Skovby, Mathias; Pedersen, Simon Sejer; Melvad, Claus; Rysgaard, Søren

doi:10.1016/j.ohx.2019.e00059

Cited by 42 publications

(24 citation statements)

References 20 publications

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“…As shown in Figure 6, there are a number of commercially available unmanned systems that are inherently modular and can support a variety of hardware modules and missions. Notable examples include the Arctic Research Centre Autonomous Boat (ARCAB), 98 Aquarius USV Vessel under development by Eco Marine Power, 99 MANTAS Unmanned Surface Vessel developed by MARTAC Systems, 100 or several products produced by 5G International Inc 101 . These systems are shown and described to familiarize the reader with comparable real‐world systems.…”

Section: Case Studymentioning

confidence: 99%

Operationalizing digital twins through model‐based systems engineering methods

Bickford

Bossuyt

Beery

et al. 2020

Systems Engineering

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In recent years there has been increased demand for readiness and availability metrics across many industries and especially in national defense to enable data‐driven decision making at all levels of planning, maintenance, and operations, and in leveraging integrated models that inform stakeholders of current operational system health and performance metrics. The digital twin (DT) has been identified as a promising approach for deploying these models to fielded systems although several challenges exist in wide adoption and implementation. Two challenges examined in this article are that the nature of DT development is a system‐specific endeavor, and the development is usually an additional effort that begins after initial system fielding. A fundamental challenge with DT development, which sets it apart from traditional models, is the DT itself is treated as a separate system, and therefore the physical asset/DT construct becomes a system‐of‐systems problem. This article explores how objectives in DT development align with those of model‐based systems engineering (MBSE), and how the MBSE process can answer questions necessary to define the DT. The key benefits to the approach are leveraging work already being performed during system synthesis and DT development is pushed earlier in a system's lifecycle. This article contributes to the definition and development processes for DTs by proposing a DT development model and path, a method for scoping and defining requirements for a DT, and an approach to integrate DT and system development. An example case study of a Naval unmanned system is presented to illustrate the contributions.

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Section: Case Studymentioning

confidence: 99%

Operationalizing digital twins through model‐based systems engineering methods

Bickford

Bossuyt

Beery

et al. 2020

Systems Engineering

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show abstract

“…The autonomous solar-powered vessel "BUSCAMOS-RobObs" equipped with side scan sonar, sub-bottom sonar, laser systems, ultrasound sonar, depth metres, a multi-parametric probe and a GPS for collecting georeferenced oceanic data has been tested at the coastal lagoon system of Mar Menor (Spain) [22] (Figure 3). Low-budget and portable autonomous vessels have also been proved to be efficient with the collection of bathymetry and other variables in remote and dangerous coastal areas [23] (Figure 3).…”

Section: Autonomous Underwater Vehicles Rovs and On-water Platformsmentioning

confidence: 99%

“…Characterization of the euphotic and epipelagic zones can be achieved with both autonomous underwater vehicles (AUV) and remotely operated underwater vehicles (ROVs) (Figure 4 (1) ASV equipped with a winch system for autonomous water column sampling [21]; (2) the solarpowered ASV equipped with a large range of sensors is able of self-mooring [22]; (3) the affordable and portable size ASV used in coastal surveys in Greenland [23].…”

Section: Autonomous Underwater Vehicles Rovs and On-water Platformsmentioning

confidence: 99%

Autonomous Systems for the Environmental Characterization of Lagoons

Casado¹,

Palma²,

Leinster³

2020

Lagoon Environments Around the World - A Scientific Perspective

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This chapter reviews the state of the art in robotics and autonomous systems (RAS) for monitoring the environmental characteristics of lagoons, as well as potential future uses of such technologies that could contribute to enhancing current monitoring programmes. Particular emphasis will be given to unmanned aerial vehicles (UAVs), autonomous under water vehicles (AUVs), remotely operated underwater vehicles (ROVs) and (semi-)autonomous boats. Recent technological advances in UAVs, AUVs and ROVs have demonstrated that high-resolution data (e.g. 0.4 cm imagery resolution) can be gathered when bespoke sensors are incorporated within these platforms. This in turn enables the accurate quantification of key metrics within lagoon environments, such as coral morphometries. For example, coral height and width can now be estimated remotely with errors below 12.6 and 14.7 cm, respectively. The chapter will explore how the use of such technologies in combination could improve the understanding of lagoon environments through increased knowledge of the spatial and temporal variations of parameters of interest. Within this context, both advantages and limitations of the proposed approaches will be highlighted and described from operational, logistical, and regulatory considerations. The chapter will be based on recent peer-reviewed research outputs obtained by the authors.

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“…[9] Automotive gearbox implementation using methodological clutching sequence in this paper the limitation presents asystematic approach in designing for a gearbox structure for the purpose of obtaining an optimal shifting sequence with efficient manner. [10] Cars acceleration controlling by brake comfort model this paper is the limitation fact is that it can find a brake comfortable system with car-following model for longitudinal acceleration, whereas most former car- [8] following models only consider verticalvibration [21][22][23][24].…”

Section: Relatedworkmentioning

confidence: 99%

MyRio based Automated Gear Transmission for Manual Gear Cars

2019

IJRTE

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Technology plays a vital role in developing new ideas in the automobile industry. Currently optimization techniques and artificial intelligence have enhanced lot of features in the cars of higher end in terms of safety. Though these cars perform better authentically, they are less affordable and cannot be implemented for low cost cars. This project is an attempt to implement “automatic gear transmission (AGT) for manual cars, without altering the basics design of the automobile. The purpose of AGT is to avoid major accidents that occur due to nervousness and when the speed goes over control during the accidents such mis happenings can be eradicated when AGT is applied in particularly three modes such as normal track, hill climbing and reverse mode of operations. The success of this project would be greatly benefited for the smart India process.

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An affordable and portable autonomous surface vehicle with obstacle avoidance for coastal ocean monitoring

Cited by 42 publications

References 20 publications

Operationalizing digital twins through model‐based systems engineering methods

Operationalizing digital twins through model‐based systems engineering methods

Autonomous Systems for the Environmental Characterization of Lagoons

MyRio based Automated Gear Transmission for Manual Gear Cars

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