SeaMote - Interactive Remotely Operated Apparatus for Aquatic Expeditions

Radeta, Marko; Ribeiro, Miguel; Vasconcelos, Dinarte; Lopes, J.A.P.; Sousa, Michael; Monteiro, João Gama; Nunes, Nuno

doi:10.1007/978-3-030-29387-1_14

Human-Computer Interaction – INTERACT 2019

2019

DOI: 10.1007/978-3-030-29387-1_14

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SeaMote - Interactive Remotely Operated Apparatus for Aquatic Expeditions

Marko Radeta

Miguel Ribeiro²,

Dinarte Vasconcelos³

et al.

Abstract: IoT has been widely adopted by HCI communities and citizen scientists to sense and control the surrounding environments. While their applications are mostly reported in urban settings, they remain scarce in aquatic settings. Oceans are undergoing an immense increase of human generated pollution ranging from noise to marine litter, where current USV solutions to detect its impact on environment remain at high cost. In our study, we design a first low-cost, long-range, radio controlled USV, based on IoT and LoRa… Show more

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Cited by 2 publications

References 30 publications

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Novel approach to enhance coastal habitat and biotope mapping with drone aerial imagery analysis

Monteiro

Jiménez

Gizzi

et al. 2021

Sci Rep

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Understanding the complex factors and mechanisms driving the functioning of coastal ecosystems is vital towards assessing how organisms, ecosystems, and ultimately human populations will cope with the ecological consequences of natural and anthropogenic impacts. Towards this goal, coastal monitoring programs and studies must deliver information on a range of variables and factors, from taxonomic/functional diversity and spatial distribution of habitats, to anthropogenic stress indicators such as land use, fisheries use, and pollution. Effective monitoring programs must therefore integrate observations from different sources and spatial scales to provide a comprehensive view to managers. Here we explore integrating aerial surveys from a low-cost Remotely Piloted Aircraft System (RPAS) with concurrent underwater surveys to deliver a novel approach to coastal monitoring. We: (i) map depth and substrate of shallow rocky habitats, and; (ii) classify the major biotopes associated with these environmental axes; and (iii) combine data from i and ii to assess the likely distribution of common sessile organismal assemblages over the survey area. Finally, we propose a general workflow that can be adapted to different needs and aerial platforms, which can be used as blueprints for further integration of remote-sensing with in situ surveys to produce spatially-explicit biotope maps.

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Novel approach to enhance coastal habitat and biotope mapping with drone aerial imagery analysis

Monteiro

Jiménez

Gizzi

et al. 2021

Sci Rep

View full text Add to dashboard Cite

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Lost in the Deep?

Radeta

Rodrigues

Silva

et al. 2023

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

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Computing research is increasingly addressing underwater environments and examining how computing can support diving and other activities. Unlike on land, where well-established positioning methods are widely available, underwater environments lack a common positioning mechanism, which is a prerequisite for many applications. Dead reckoning, the use of angle and distance estimates to track position changes from a known point of origin, is a promising candidate for underwater positioning as it does not rely on wireless signals (which decay rapidly in underwater environments) and as there is a wide range of literature and algorithms freely available. Yet, currently it is unclear whether the existing techniques can be adopted in underwater environments or whether the differences in medium and environment affect the performance of the dead reckoning techniques. We contribute by evaluating and systematically analyzing the performance and trade-offs associated with dead reckoning techniques in underwater environments. We present AEOLUS, a prototype unit comprising of a low-cost microcontroller and inertial measurement unit, to perform experiments on the ground and in underwater environments to assess how well the performance of different techniques translates from ground-based use cases to underwater environments. We benchmark 15 different algorithms and compare their performance in such environments to identify common patterns and dissimilarities, and identify root causes for these differences. The results show that displacement and turn errors can be estimated to within 5% error but that the best performing methods vary between land and underwater environments. We also show that the performance depends on the shape of the motion patterns with some algorithms performing better for hard turns whereas others perform better for gradual, more continuous turns.

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SeaMote - Interactive Remotely Operated Apparatus for Aquatic Expeditions

Cited by 2 publications

References 30 publications

Novel approach to enhance coastal habitat and biotope mapping with drone aerial imagery analysis

Novel approach to enhance coastal habitat and biotope mapping with drone aerial imagery analysis

Lost in the Deep?

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