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Related papers: Solar Panel Mapping via Oriented Object Detection

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With the effects of global climate change impacting the world, collective efforts are needed to reduce greenhouse gas emissions. The energy sector is the single largest contributor to climate change and many efforts are focused on reducing…

Computer Vision and Pattern Recognition · Computer Science 2022-01-07 Poonam Parhar , Ryan Sawasaki , Alberto Todeschini , Colorado Reed , Hossein Vahabi , Nathan Nusaputra , Felipe Vergara

Oriented object detection is a crucial task in computer vision. Current top-down oriented detection methods usually directly detect entire objects, and not only neglecting the authentic direction of targets, but also do not fully utilise…

Computer Vision and Pattern Recognition · Computer Science 2022-02-15 Beihang Song , Jing Li , Shan Xue , Jun Chang , Jia Wu , Jun Wan , Tianpeng Liu

To ensure energy efficiency and reliable operations, it is essential to monitor solar panels in generation plants to detect defects. It is quite labor-intensive, time consuming and costly to manually monitor large-scale solar plants and…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Muhammad Junaid Asif , Muhammad Saad Rafaqat , Usman Nazakat , Uzair Khan , Rana Fayyaz Ahmad

Solar photovoltaic (PV) modules are prone to damage during manufacturing, installation and operation which reduces their power conversion efficiency. This diminishes their positive environmental impact over the lifecycle. Continuous…

Computer Vision and Pattern Recognition · Computer Science 2025-08-04 Swayam Rajat Mohanty , Moin Uddin Maruf , Vaibhav Singh , Zeeshan Ahmad

The quantity of small scale solar photovoltaic (PV) arrays in the United States has grown rapidly in recent years. As a result, there is substantial interest in high quality information about the quantity, power capacity, and energy…

Computer Vision and Pattern Recognition · Computer Science 2016-10-03 Jordan M. Malof , Kyle Bradbury , Leslie M. Collins , Richard G. Newell

Solar energy is rapidly becoming a robust renewable energy source to conventional finite resources such as fossil fuels. It is harvested using interconnected photovoltaic panels, typically built with crystalline silicon cells, i.e.…

Computer Vision and Pattern Recognition · Computer Science 2024-03-12 Booy Vitas Faassen , Jorge Serrano , Paul D. Rosero-Montalvo

Solar energy is one of the most abundant and tapped sources of renewable energies with enormous future potential. Solar panel output can vary widely with factors like intensity, temperature, dirt, debris and so on affecting it. We have…

Computer Vision and Pattern Recognition · Computer Science 2025-11-25 Abishek Karthik , Sreya Mynampati , Pandiyaraju V

Solar photovoltaic (PV) deployment is expanding rapidly, yet detailed, up-to-date information on the spatial distribution and capacity of rooftop PV remains limited. This paper presents an open, scalable framework for detecting solar panels…

Artificial Intelligence · Computer Science 2026-05-05 Shiliang Zhang , Sabita Maharjan , Damla Turgut

Solar trajectory monitoring is a pivotal challenge in solar energy systems, underpinning applications such as autonomous energy harvesting and environmental sensing. A prevalent failure mode in sustained solar tracking arises when the…

Solar energy has the potential to become the backbone energy source for the world. Utility scale solar power plants (more than 50 MW) could have more than 100K individual solar modules and be spread over more than 200 acres of land.…

Machine Learning · Computer Science 2019-02-13 Alekh Karkada Ashok , Chandan G , Adithya Bhat , Kausthubh Karnataki , Ganesh Shankar

An accurate and up-to-date model of a photovoltaic (PV) power plant is essential for its optimal operation and maintenance. However, such a model may not be easily available. This work introduces a novel approach for PV power plant mapping…

Computer Vision and Pattern Recognition · Computer Science 2025-12-23 Viktor Kozák , Jan Chudoba , Libor Přeučil

Magnetic Bright Points (MBPs) in the internetwork are among the smallest objects in the solar photosphere and appear bright against the ambient environment. An algorithm is presented that can be used for the automated detection of the MBPs…

Solar and Stellar Astrophysics · Physics 2015-05-13 P. J. Crockett , D. B. Jess , M. Mathioudakis , F. P. Keenan

Project Sunroof estimates the solar potential of residential buildings using high quality aerial data. That is, it estimates the potential solar energy (and associated financial savings) that can be captured by buildings if solar panels…

Computer Vision and Pattern Recognition · Computer Science 2023-06-26 Ross Goroshin , Alex Wilson , Andrew Lamb , Betty Peng , Brandon Ewonus , Cornelius Ratsch , Jordan Raisher , Marisa Leung , Max Burq , Thomas Colthurst , William Rucklidge , Carl Elkin

The energy transition towards photovoltaic solar energy has evolved to be a viable and sustainable source for the generation of electricity. It has effectively emerged as an alternative to the conventional mode of electricity generation for…

Image and Video Processing · Electrical Eng. & Systems 2023-01-02 Divyanshi Dwivedi , Pradeep Kumar Yemula , Mayukha Pal

All over the world the peak demand load is increasing and the load factor is decreasing year-by-year. The fossil fuel is considered insufficient thus solar energy systems are becoming more and more useful, not only in terms of installation…

Other Computer Science · Computer Science 2011-11-08 Bimal Aklesh Kumar

A solar panel harvests the most energy when pointing in the direction that maximizes the total illumination (irradiance) falling on it. Given an arbitrary panel orientation and an arbitrary environmental illumination, we address the problem…

Computer Vision and Pattern Recognition · Computer Science 2025-08-15 Jeremy Klotz , Shree K. Nayar

Fast, non-destructive and on-site quality control tools, mainly high sensitive imaging techniques, are important to assess the reliability of photovoltaic plants. To minimize the risk of further damages and electrical yield losses,…

Computer Vision and Pattern Recognition · Computer Science 2020-10-01 Mathis Hoffmann , Bernd Doll , Florian Talkenberg , Christoph J. Brabec , Andreas K. Maier , Vincent Christlein

Photovoltaics (PV) are widely used to harvest solar energy, an important form of renewable energy. Photovoltaic arrays consist of multiple solar panels constructed from solar cells. Solar cells in the field are vulnerable to various…

Applications · Statistics 2024-08-13 Xinyi Song , Kennedy Odongo , Francis G. Pascual , Yili Hong

As climate change intensifies, the global imperative to shift towards sustainable energy sources becomes more pronounced. Photovoltaic (PV) energy is a favored choice due to its reliability and ease of installation. Accurate mapping of PV…

Computer Vision and Pattern Recognition · Computer Science 2023-11-01 Adrian de Luis , Minh Tran , Taisei Hanyu , Anh Tran , Liao Haitao , Roy McCann , Alan Mantooth , Ying Huang , Ngan Le

Renewable energy such as solar power is critical to fight the ever more serious climate change. China is the world leading installer of solar panel and numerous solar power plants were built. In this paper, we proposed a deep learning…

Computer Vision and Pattern Recognition · Computer Science 2019-12-11 Xin Hou , Biao Wang , Wanqi Hu , Lei Yin , Haishan Wu
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