Press Release

• Pole position for an AI-system to ‘see’ stationary objects in the environment on Science Foundation Ireland website and also on ADAPT SFI Centre website, 30/07/2019.
• AIMapIt case study
• AIMapIt on course to further its commercialisation ambitions, 25/03/2020

AIMapIt team a part of the ADAPT SFI Centre

• Project Manager and contact for queries, email: aimapit @ adaptcentre . ie
• Project leader: Prof. Rozenn Dahyot
• Tech Team: Dr. Eamonn Kenny
• Advisory Team: Dr. Vladimir A. Krylov, Conor Mc Nally, Declan McKibben, and Kieran Flynn

Recent Publications

• Automatic Discovery and Geotagging of Objects from Street View Imagery, V. A. Krylov, E. Kenny and R. Dahyot, Remote Sensing, vol. 10, number 5, 2018, DOI:10.3390/rs10050661 ArXiv:1708.08417
• Object Geolocation from Crowdsourced Street Level Imagery, V. Krylov and R. Dahyot, International Workshop on Urban Reasoning (UrbReas 2018) in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Dublin, Ireland, September 2018. DOI:10.1007/978-3-030-13453-2_7
• Object Geolocation using MRF based Multi-Sensor Fusion, V. Krylov and R. Dahyot, IEEE International Conference on Image Processing (ICIP 2018), October 2018, Greece. DOI:10.1109/ICIP.2018.8451458