Project webpage is https://aimapit.com/
We propose a solution for Automatic Detection and Geotagging of Stationary Objects from Street Level Imagery.
A prototype solution has been successfully developed for eir:
shortlisted for IBEC Digital Technology Award Ireland 2017 (Outstanding Academic Achievement),
shortlisted for AIAwards Ireland 2018 (Best Contribution To AI – Academic Research Body).
The research and development are being conducted in ADAPT Centre for Digital Content Technology, Ireland.
Recent publications:
AI Mapit targets seed funding round to fund global expansion, Irish Times, 26 September 2023.
What Google Maps can’t do – a map for Dublin’s trees, bins and lights, Independent.ie, 16 December 2022.
Participants:
Ms. Julie Connelly (CEO ai mapit) [contact],
Dr. Matej Ulicny, (Tech Lead ai mapit), [contact],
Dr. Vladimir Krylov, Dublin City University, [contact],
Prof. Rozenn Dahyot, Maynooth University [contact].
Current status:
2023: in the process of spinning out from Trinity College Dublin (CEO: Julie Connelly)
2019 - 2021: Commercialisation Fund from Enterprise Ireland (€348K, PI: Prof. Rozenn Dahyot, Collaborator: Dr. Vladimir Krylov)
2018 Commercial Case Feasibility Study funded by Enterprise Ireland (€15K, PI: Dr. Vladimir Krylov).
Promo video:
Promo leaflet:
Related research publications:
V. A. Krylov, E. Kenny, R. Dahyot. "Automatic Discovery and Geotagging of Objects from Street View Imagery". Remote Sensing. Vol. 10, no. 5. May 2018. [link] [pdf] [Presentation] [YouTube] [Github]
V. A. Krylov, R. Dahyot. "Object Geolocation using MRF-based Multi-sensor Fusion", IEEE International Conference on Image Processing ICIP 2018, Proc. of IEEE ICIP 2018, Athens (Greece), October 7-10, 2018. [link] [pdf] [poster] [abstract] [bibtex]
V. A. Krylov, R. Dahyot. "Object Geolocation from Crowdsourced Street Level Imagery", International Workshop on Urban Reasoning, European Conference on Machine Learning ECML 2018. Proc. of ECML 2018, Dublin (Ireland), September 14, 2018. [link] [pdf] [presentation] [abstract] [bibtex]