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Accurate segmentation of floating debris on water is often compromised by surface glare and changing outdoor illumination. Polarimetric imaging offers a single-sensor route to mitigate water-surface glare that disrupts semantic segmentation…

Computer Vision and Pattern Recognition · Computer Science 2025-09-30 Luis F. W. Batista , Tom Bourbon , Cedric Pradalier

Maritime environments often present hazardous situations due to factors such as moving ships or buoys, which become obstacles under the influence of waves. In such challenging conditions, the ability to detect and track potentially…

Robotics · Computer Science 2024-12-20 Jiwon Choi , Dongjin Cho , Gihyeon Lee , Hogyun Kim , Geonmo Yang , Joowan Kim , Younggun Cho

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

Polarization information of the light can provide rich cues for computer vision and scene understanding tasks, such as the type of material, pose, and shape of the objects. With the advent of new and cheap polarimetric sensors, this imaging…

Computer Vision and Pattern Recognition · Computer Science 2024-01-03 Joaquin Rodriguez , Lew-Fock-Chong Lew-Yan-Voon , Renato Martins , Olivier Morel

Plastic pollution is a critical environmental issue, and detecting and monitoring plastic litter is crucial to mitigate its impact. This paper presents the methodology of mapping street-level litter, focusing primarily on plastic waste and…

Computer Vision and Pattern Recognition · Computer Science 2024-01-29 Sriram Reddy Mandhati , N. Lakmal Deshapriya , Chatura Lavanga Mendis , Kavinda Gunasekara , Frank Yrle , Angsana Chaksan , Sujit Sanjeev

Waste pollution is one of the most significant environmental issues in the modern world. The importance of recycling is well known, either for economic or ecological reasons, and the industry demands high efficiency. Our team conducted…

Computer Vision and Pattern Recognition · Computer Science 2023-07-21 Sylwia Majchrowska , Agnieszka Mikołajczyk , Maria Ferlin , Zuzanna Klawikowska , Marta A. Plantykow , Arkadiusz Kwasigroch , Karol Majek

Combining multi-spectral satellite data and machine learning has been suggested as a method for monitoring plastic pollutants in the ocean environment. Recent studies have made theoretical progress regarding the identification of marine…

Image and Video Processing · Electrical Eng. & Systems 2023-05-03 Henry Booth , Wanli Ma , Oktay Karakus

Rivers and canals flowing through cities are often used illegally for dumping the trash. This contaminates freshwater channels as well as causes blockage in sewerage resulting in urban flooding. When this contaminated water reaches…

Computer Vision and Pattern Recognition · Computer Science 2020-07-10 Mohbat Tharani , Abdul Wahab Amin , Mohammad Maaz , Murtaza Taj

Plastic waste is filling our oceans at an exponential rate. The situation is catastrophic and has now garnered worldwide attention. Despite the catastrophic conditions, little to no robotics research is conducted in the identification,…

Robotics · Computer Science 2018-09-05 Juan Rojas

Garbage production and littering are persistent global issues that pose significant environmental challenges. Despite large-scale efforts to manage waste through collection and sorting, existing approaches remain inefficient, leading to…

Computer Vision and Pattern Recognition · Computer Science 2024-10-16 Everest Z. Kuang , Kushal Raj Bhandari , Jianxi Gao

Accurately modeling how real-world materials reflect light remains a core challenge in inverse rendering, largely due to the scarcity of real measured reflectance data. Existing approaches rely heavily on synthetic datasets with simplified…

Computer Vision and Pattern Recognition · Computer Science 2026-03-27 Jing Yang , Krithika Dharanikota , Emily Jia , Haiwei Chen , Yajie Zhao

Light has many properties that vision sensors can passively measure. Colour-band separated wavelength and intensity are arguably the most commonly used for monocular 6D object pose estimation. This paper explores how complementary…

Computer Vision and Pattern Recognition · Computer Science 2022-07-14 Daoyi Gao , Yitong Li , Patrick Ruhkamp , Iuliia Skobleva , Magdalena Wysock , HyunJun Jung , Pengyuan Wang , Arturo Guridi , Benjamin Busam

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

Plastic waste entering the riverine harms local ecosystems leading to negative ecological and economic impacts. Large parcels of plastic waste are transported from inland to oceans leading to a global scale problem of floating debris…

Computer Vision and Pattern Recognition · Computer Science 2023-07-25 Nathaniel Hanson , Ahmet Demirkaya , Deniz Erdoğmuş , Aron Stubbins , Taşkın Padır , Tales Imbiriba

Object detection in road scenes is necessary to develop both autonomous vehicles and driving assistance systems. Even if deep neural networks for recognition task have shown great performances using conventional images, they fail to detect…

Computer Vision and Pattern Recognition · Computer Science 2019-10-14 Rachel Blin , Samia Ainouz , Stéphane Canu , Fabrice Meriaudeau

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

With the increasing use of plastic, the challenges associated with managing plastic waste have become more challenging, emphasizing the need of effective solutions for classification and recycling. This study explores the potential of deep…

Computer Vision and Pattern Recognition · Computer Science 2024-12-31 Suman Kunwar , Banji Raphael Owabumoye , Abayomi Simeon Alade

Small, amorphous waste objects such as biological droppings and microtrash can be difficult to see, especially in cluttered scenes, yet they matter for environmental cleanliness, public health, and autonomous cleanup. We introduce…

Computer Vision and Pattern Recognition · Computer Science 2026-02-10 Jon Crall

The quantification of positively buoyant marine plastic debris is critical to understanding how plastic litter accumulates across the world's oceans and is also crucial to identifying hotspots for targeted cleanup efforts. Currently, the…

Computer Vision and Pattern Recognition · Computer Science 2021-10-22 Gautam Tata , Sarah-Jeanne Royer , Olivier Poirion , Jay Lowe

Plastic pollution presents an escalating global issue, impacting health and environmental systems, with micro- and nanoplastics found across mediums from potable water to air. Traditional methods for studying these contaminants are…

Computer Vision and Pattern Recognition · Computer Science 2024-09-23 Hadi Rezvani , Navid Zarrabi , Ishaan Mehta , Christopher Kolios , Hussein Ali Jaafar , Cheng-Hao Kao , Sajad Saeedi , Nariman Yousefi
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