Deep learning Innovations for Underwater Waste Detection: An In-Depth Analysis

JS Walia, K Mehta, S Harshavardhana… - arXiv preprint arXiv …, 2024 - arxiv.org
Addressing the issue of submerged underwater trash is crucial for safeguarding aquatic
ecosystems and preserving marine life. While identifying debris present on the surface of …

[HTML][HTML] Marine litter weight estimation from UAV imagery: Three potential methodologies to advance macrolitter reports

U Andriolo, G Gonçalves, M Hidaka, D Gonçalves… - Marine Pollution …, 2024 - Elsevier
In the context of marine litter monitoring, reporting the weight of beached litter can contribute
to a better understanding of pollution sources and support clean-up activities. However, the …

[PDF][PDF] Deep Learning in Waste Management: A Brief Survey

S Kunwar, AS Alade - International Journal of Complexity in Applied …, 2024 - preprints.org
The rapid growth of the global population is causing a significant increase in waste
production, leading to serious environmental and public health challenges. To address …

Coordinated traffic lights and auction intersection management in a mixed scenario

F Muzzini, N Capodieci, M Montangero - … of the 2023 ACM Conference on …, 2023 - dl.acm.org
IoT (Internet-of-Things) powered devices can be exploited to connect vehicles to a smart city
infrastructure and thus allow vehicles to share their intentions while retrieving contextual …

Progress in Research on Marine Litter-Related Monitoring Technologies

H Liu, M Wang, H Tang, H Zhang - Journal of Physics …, 2024 - iopscience.iop.org
The problem of marine litter pollution is becoming increasingly serious and has become one
of the important global environmental issues. From the perspective of source and sink …

BePLi Dataset v1: Beach Plastic Litter Dataset version 1 for instance segmentation of beach plastic litter

M Hidaka, K Murakami, K Koshidawa, S Kawahara… - Data in Brief, 2023 - Elsevier
Marine plastic pollution is a pressing global issue nowadays. To address this problem,
automated image analysis techniques that can identify plastic litter are necessary for …

Uncertainty-aware visual perception for safe motion planning

R Römer, A Lederer, S Tesfazgi, S Hirche - arXiv preprint arXiv …, 2022 - arxiv.org
For safe operation, a robot must be able to avoid collisions in uncertain environments.
Existing approaches for motion planning with uncertainties often make conservative …

LOTS: Litter On The Sand dataset for litter segmentation

P Barra, AA Citarella, G Orefice… - … on Machine Vision …, 2023 - ieeexplore.ieee.org
The marine ecosystem is threatened by human waste released into the sea. One of the most
challenging marine litter to identify and remove are the small particles settled on the sand …

Litter segmentation with LOTS dataset

P Barra, G Orefice, A Auriemma Citarella… - Proceedings of the …, 2023 - dl.acm.org
The marine ecosystem faces a significant threat due to the release of human waste into the
sea. One of the most challenging issues is identifying and removing small particles that …

海洋プラスチックごみモニタリングにおけるDX

松岡大祐 - 環境情報科学, 2023 - jstage.jst.go.jp
抄録 近年, プラスチックごみの一部が海洋に流出し, 深刻な社会問題となっている.
プラスチックごみによる海洋汚染を食い止めるための第一歩として, 流出源である街から河川などを …