Detailed Aerial Mapping of Photovoltaic Power Plants Through Semantically Significant Keypoints

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00385754" target="_blank" >RIV/68407700:21230/25:00385754 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21730/25:00385754

Výsledek na webu

<a href="https://doi.org/10.26833/ijeg.1737764" target="_blank" >https://doi.org/10.26833/ijeg.1737764</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.26833/ijeg.1737764" target="_blank" >10.26833/ijeg.1737764</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Detailed Aerial Mapping of Photovoltaic Power Plants Through Semantically Significant Keypoints

Popis výsledku v původním jazyce

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 based on aerial overview images. It enables the automation of the mapping process while removing the reliance on third-party data. The presented mapping method takes advantage of the structural layout of the power plants to achieve detailed modeling down to the level of individual PV modules. The approach relies on visual segmentation of PV modules in overview images and the inference of structural information in each image, assigning modules to individual benches, rows, and columns. We identify visual keypoints related to the layout and use these to merge detections from multiple images while maintaining their structural integrity. The presented method was experimentally verified and evaluated on two different power plants. The final fusion of 3D positions and semantic structures results in a compact georeferenced model suitable for power plant maintenance.

Název v anglickém jazyce

Detailed Aerial Mapping of Photovoltaic Power Plants Through Semantically Significant Keypoints

Popis výsledku anglicky

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 based on aerial overview images. It enables the automation of the mapping process while removing the reliance on third-party data. The presented mapping method takes advantage of the structural layout of the power plants to achieve detailed modeling down to the level of individual PV modules. The approach relies on visual segmentation of PV modules in overview images and the inference of structural information in each image, assigning modules to individual benches, rows, and columns. We identify visual keypoints related to the layout and use these to merge detections from multiple images while maintaining their structural integrity. The presented method was experimentally verified and evaluated on two different power plants. The final fusion of 3D positions and semantic structures results in a compact georeferenced model suitable for power plant maintenance.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/EH22_008%2F0004590" target="_blank" >EH22_008/0004590: Robotika a pokročilá průmyslová výroba</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

International Journal of Engineering and Geosciences

ISSN

2548-0960

e-ISSN

2548-0960

Svazek periodika

11

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

TR - Turecká republika

Počet stran výsledku

11

Strana od-do

352-362

Kód UT WoS článku

001643789400009

EID výsledku v databázi Scopus

2-s2.0-105026607516