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Trash deposits in aquatic environments have a destructive effect on marine ecosystems and pose a long-term economic and environmental threat. Autonomous underwater vehicles (AUVs) could very well contribute to the solution of this problem…

Robotics · Computer Science 2018-09-24 Michael Fulton , Jungseok Hong , Md Jahidul Islam , Junaed Sattar

Plastic has imbibed itself as an indispensable part of our day to day activities, becoming a source of problems due to its non-biodegradable nature and cheaper production prices. With these problems, comes the challenge of mitigating and…

Computer Vision and Pattern Recognition · Computer Science 2024-09-01 Amardeep Singh , Charles Jia , Donald Kirk

Marine debris poses significant harm to marine life due to substances like microplastics, polychlorinated biphenyls, and pesticides, which damage habitats and poison organisms. Human-based solutions, such as diving, are increasingly…

Computer Vision and Pattern Recognition · Computer Science 2025-01-29 Abi Aryaza , Novanto Yudistira , Tibyani

Accurately quantifying and removing submerged underwater waste plays a crucial role in safeguarding marine life and preserving the environment. While detecting floating and surface debris is relatively straightforward, quantifying submerged…

Computer Vision and Pattern Recognition · Computer Science 2023-09-28 Jaskaran Singh Walia , Karthik Seemakurthy

Marine animals and deep underwater objects are difficult to recognize and monitor for safety of aquatic life. There is an increasing challenge when the water is saline with granular particles and impurities. In such natural adversarial…

Computer Vision and Pattern Recognition · Computer Science 2024-01-24 Sanyam Jain

With the development of coastal construction, a large amount of human-generated waste, particularly plastic debris, is continuously entering the ocean, posing a severe threat to marine ecosystems. The key to effectively addressing plastic…

Computer Vision and Pattern Recognition · Computer Science 2024-12-31 Xiaoteng Zhou , Katsunori Mizuno

Coral reefs are fast-changing and complex ecosystems that are crucial to monitor and study. Biological hotspot detection can help coral reef managers prioritize limited resources for monitoring and intervention tasks. Here, we explore the…

Robotics · Computer Science 2024-02-05 Daniel Yang , Levi Cai , Stewart Jamieson , Yogesh Girdhar

Marine debris originating from human activity has been accumulating in underwater environments such as oceans, lakes, and rivers for decades. The extent, type, and amount of waste is hard to assess as the exact mechanisms for spread are not…

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 water bodies is straightforward, assessing the underwater…

Computer Vision and Pattern Recognition · Computer Science 2024-11-22 Jaskaran Singh Walia , Pavithra L K

Garbage and waste disposal is one of the biggest challenges currently faced by mankind. Proper waste disposal and recycling is a must in any sustainable community, and in many coastal areas there is significant water pollution in the form…

Computer Vision and Pattern Recognition · Computer Science 2019-05-15 Matias Valdenegro-Toro

Detecting and quantifying marine pollution and macro-plastics is an increasingly pressing ecological issue that directly impacts ecology and human health. Efforts to quantify marine pollution are often conducted with sparse and expensive…

Computer Vision and Pattern Recognition · Computer Science 2023-07-06 Marc Rußwurm , Sushen Jilla Venkatesa , Devis Tuia

Detecting marine objects inshore presents challenges owing to algorithmic intricacies and complexities in system deployment. We propose a difficulty-aware edge-cloud collaborative sensing system that splits the task into object localization…

Computer Vision and Pattern Recognition · Computer Science 2024-07-30 Wenjun Huang , Hanning Chen , Yang Ni , Arghavan Rezvani , Sanggeon Yun , Sungheon Jeon , Eric Pedley , Mohsen Imani

Availability of domain-specific datasets is an essential problem in object detection. Maritime vessel detection of inshore and offshore datasets is no exception, there is a limited number of studies addressing this need. For that reason, we…

Computer Vision and Pattern Recognition · Computer Science 2021-02-12 Bogdan Iancu , Valentin Soloviev , Luca Zelioli , Johan Lilius

Object detection in Unmanned Aerial Vehicle (UAV) images has emerged as a focal area of research, which presents two significant challenges: i) objects are typically small and dense within vast images; ii) computational resource constraints…

Computer Vision and Pattern Recognition · Computer Science 2024-12-17 Chen Li , Rui Zhao , Zeyu Wang , Huiying Xu , Xinzhong Zhu

Marine debris detection for ocean robot is crucial for ecological protection, yet performance is often degraded by low-quality images with blur, complex backgrounds, and small targets. To address these challenges, we propose YOLO-MD, an…

Computer Vision and Pattern Recognition · Computer Science 2026-05-11 Yuyang Li , Jiashu Han , Yinyi Lai , Wenbin Kang , Zenghui Liu

With the global issue of plastic debris ever expanding, it is about time that the technology industry stepped in. This study aims to assess whether deep learning can successfully distinguish between marine life and man-made debris…

Machine Learning · Computer Science 2022-12-14 Zoe Moorton , Zeyneb Kurt , Wai Lok Woo

Detection of artificial objects from underwater imagery gathered by Autonomous Underwater Vehicles (AUVs) is a key requirement for many subsea applications. Real-world AUV image datasets tend to be very large and unlabelled. Furthermore,…

Computer Vision and Pattern Recognition · Computer Science 2023-06-09 Suraj Bijjahalli , Oscar Pizarro , Stefan B. Williams

Marine debris poses a significant threat to the survival of marine wildlife, often leading to entanglement and starvation, ultimately resulting in death. Therefore, removing debris from the ocean is crucial to restore the natural balance…

Computer Vision and Pattern Recognition · Computer Science 2023-11-02 Mohana Sri S , Swethaa S , Aouthithiye Barathwaj SR Y , Sai Ganesh CS

With the advancement of maritime unmanned aerial vehicles (UAVs) and deep learning technologies, the application of UAV-based object detection has become increasingly significant in the fields of maritime industry and ocean engineering.…

Computer Vision and Pattern Recognition · Computer Science 2023-11-16 Chenjie Zhao , Ryan Wen Liu , Jingxiang Qu , Ruobin Gao

Intelligent detection and tracking of the vessels on the sea play a significant role in conducting traffic avoidance in unmanned surface vessels(USV). Current traffic avoidance software relies mainly on Automated Identification System (AIS)…

Artificial Intelligence · Computer Science 2024-05-21 Srikanth Vemula , Eulises Franco , Michael Frye
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