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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>AIMapIT</title>
<meta name="description" content="This site is powered by [Jekyll](https://jekyllrb.com/) using a modified version of the [minima](https://github.com/jekyll/minima) theme. Icons are loaded us...">
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<body>
<header class="site-header" role="banner">
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<a class="site-title" href="">AIMapIT: Automatic Detection and Geotagging of Stationary Objects from Street Level Imagery</a>
<img src="AIMapIT_logo.jpg" alt="aimapit" width = "300"/>
</div>
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<main class="page-content" aria-label="Content">
<div class="wrapper">
<article class="post">
<style>
.bottom-three {
margin-bottom: 1cm;
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<div class="post-content">
<header>
<h4 >Press Release</h4>
</header>
<ul>
<li>
<b>Pole position for an AI-system to ‘see’ stationary objects in the environment </b> on
<a href="https://www.sfi.ie/research-news/stories/ai/#row-collapse-item-3" target="_blank">Science Foundation Ireland</a> website and also on
<a href="https://www.adaptcentre.ie/news/pole-position-for-an-ai-system-to-see-stationary-objects-in-the-environment" target="_blank">ADAPT SFI Centre </a> website, 30/07/2019.
</li>
<li> AIMapIt <a href="https://www.adaptcentre.ie/case-studies/aimapit" target="_blank">case study </a> </li>
<li> <a href="https://www.adaptcentre.ie/news/aimapit-on-course-to-further-its-commercialisation-ambitions" target="_blank">AIMapIt on course to further its commercialisation ambitions</a>, 25/03/2020</li>
</ul>
<p> AIMapIt team a part of the <a href="https://www.adaptcentre.ie/" target="_blank">ADAPT SFI Centre</a>
<ul>
<li> Project Manager and contact for queries, email: <b> aimapit @ adaptcentre . ie</b></li>
<li> Project leader: <a href="https://www.scss.tcd.ie/Rozenn.Dahyot/Demos.html#Geottaging" target="_blank">Prof. Rozenn Dahyot</a> </li>
<li> Tech Team: Dr. Eamonn Kenny
<!-- <b>Join the team!</b> Open Positions:
<ul>
<li><a href="https://www.adaptcentre.ie/about/jobs/senior-research-engineer-for-computer-vision-spin-out-aimapit" target="_blank" >Senior Research Engineer </a> </li>
<li> <a href="https://www.adaptcentre.ie/about/jobs/research-engineer-in-visual-data-analytics" target="_blank" >Research Engineer in Visual Data Analytics</a> </li>
<li> <a href="https://www.adaptcentre.ie/about/jobs/post-doctoral-research-fellow-in-computer-vision-gis" target="_blank" >Post-Doctoral Research Fellow in Computer Vision & GIS</a> </li>
</ul>
-->
</li>
<li> Advisory Team: <a href="https://sites.google.com/site/vlkryl/" target="_blank">Dr. Vladimir A. Krylov</a>, Conor Mc Nally, Declan McKibben, and Kieran Flynn</li>
</ul>
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<iframe width="100%" height="315" src="https://www.youtube.com/embed/VM6a93voPJY" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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<article class="post">
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<header>
<h4 >Recent Publications</h4>
</header>
<ul>
<li><i>Automatic Discovery and Geotagging of Objects from Street View Imagery</i>,
V. A. Krylov, E. Kenny and R. Dahyot, Remote Sensing, vol. 10, number 5, 2018,
<a href="https://doi.org/10.3390/rs10050661" target="_blank">DOI:10.3390/rs10050661</a>
<a href="https://arxiv.org/abs/1708.08417" target="_blank">ArXiv:1708.08417</a> </li>
<li><i>Object Geolocation from Crowdsourced Street Level Imagery</i>, V. Krylov and R. Dahyot, International Workshop on Urban Reasoning
(<a href="https://urbanreasoningworkshop.github.io/" target="_blank">UrbReas 2018</a>) in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Dublin, Ireland, September 2018.
<a href="https://doi.org/10.1007/978-3-030-13453-2_7" target="_blank">DOI:10.1007/978-3-030-13453-2_7</a></li>
<li> <i>Object Geolocation using MRF based Multi-Sensor Fusion</i>, V. Krylov and R. Dahyot, IEEE International Conference on Image Processing (ICIP 2018), October 2018, Greece.
<a href="https://doi.org/10.1109/ICIP.2018.8451458" target="_blank">DOI:10.1109/ICIP.2018.8451458</a></li>
</ul>
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<p align="justify"> This project is supported by Enterprise Ireland (Commercial Fund CF-2019-1092-I and Feasibility CF-2017-0657-Y) and
Science Foundation Ireland with the <a href="https://www.adaptcentre.ie/" target="_blank">ADAPT Research Centre</a>.
The Commercialisation Fund Programme is co-funded by the European Union through the European Regional Development Fund 2014-2020 Programme.
This research was conducted with the financial support of European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 713567 and
the ADAPT SFI Centre for Digital Media Technology under the European Regional Development Fund (ERDF) through Grant # 13/RC/2106.</p>
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