Forskningsresultat per år
Forskningsresultat per år
Personlig profil
Meritförteckning
Associate Professor of Spatiotemporal data-analysis for sustainability science at the department of Computer Science.
My current research interests cover data analysis techniques, mainly computer vision and machine learning, for robust navigation and situational awareness benefitting the development of automated traffic and smart cities, for GNSS interference mitigation as well as for utilization of spatiotemporal data for sustainability science.
- Leader of the Sensors and Indoor Navigation research group at the Finnish Geospatial Research Institute 2013-2018.
- Doctoral Degree in Pervasive Computing from Tampere University of Technology, 2013
- Master in Computer Science, University of Helsinki, 2003
Vetenskapsgrenar
- 113 Data- och informationsvetenskap
Internationellt och inhemskt samarbete
Publikationer och projekt inom de senaste fem åren.
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Bridge over troubled water: managing compatibility and conflict among thought collectives in sustainability science
Nagatsu, M., Raymond, P. C., Tuomisto, H., Ruotsalainen, L., Soininen, N., Thoren, H., Stojanovic, M., Horcea-Milcu, A-I., Lehtinen, S., Mazac, R., Lamuela Orta, C., Korpelainen, N-H. P., Vainio, A., Toivanen, R. & McPhearson, T., jan. 2022, I: Sustainability Science. 17, 1, s. 27–44 18 s.Forskningsoutput: Tidskriftsbidrag › Artikel › Vetenskaplig › Peer review
Öppen tillgångFil -
Improving Computer Vision Based Perception for Collaborative Indoor Navigation
Ruotsalainen, L., Morrison, A., Mäkelä, M., Rantanen, J. & Sokolova, N., 15 mars 2022, I: IEEE Sensors Journal. 22, 6, s. 4816-4826 11 s.Forskningsoutput: Tidskriftsbidrag › Artikel › Vetenskaplig › Peer review
Öppen tillgångFil -
A case study of pedestrian positioning with UWB and UAV cameras
Masiero, A., Dabove, P., Di Pietra, V., Piragnolo, M., Vettore, A., Cucchiaro, S., Guarnieri, A., Tarolli, P., Toth, C., Gikas, V., Perakis, H., Chiang, K. W., Ruotsalainen, L. M., Goel, S. & Gabela, J., 28 juni 2021, I: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. 43, B1-2021, s. 111-116 6 s.Forskningsoutput: Tidskriftsbidrag › Konferensartikel › Vetenskaplig › Peer review
Öppen tillgångFil -
A novel approach of creating sustainable urban planning solutions that optimise the local air quality and environmental equity in Helsinki, Finland: The CouSCOUS study protocol
Demmler, J. C., Gosztonyi, Á., Du, Y., Leinonen, M., Ruotsalainen, L., Järvi, L. & Ala-Mantila, S., 2 dec. 2021, I: PLoS One. 16, 12, 14 s., 0260009.Forskningsoutput: Tidskriftsbidrag › Artikel › Vetenskaplig › Peer review
Öppen tillgångFil -
Dissemination of GNSS RTK using MQTT
Rao, A., Kirkko-Jaakkola, M. & Ruotsalainen, L., 2021, 2021 Joint European Conference on Networks and Communications 6G Summit (EuCNC/6G Summit). IEEE, s. 282-287 6 s. (European Conference on Networks and Communications).Forskningsoutput: Kapitel i bok/rapport/konferenshandling › Konferensbidrag › Vetenskaplig › Peer review
Fil
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Artificial Intelligence for Industrial Vision
01/03/2020 → 28/02/2022
Projekt: Forskningsprojekt
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SEAMLESS PEDESTRIAN INDOOR / OUTDOOR NAVIGATION
02/09/2019 → 31/03/2020
Projekt: Forskningsprojekt
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5G- assisted Ground-based Galileo-GPS receiver Group with Inertial and Visual Enhancement
01/03/2019 → 30/04/2020
Projekt: Forskningsprojekt
Tidningsurklipp
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EUNIC AI Science Café: AI & Smart Mobility
06/06/2021
1 objekt av Mediabevakning
Press/media: !!Press / Media
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-UNIVERSITY OF HELSINKI: Future search engines will help users find information they don't even know they are looking for
Keijo Heljanko & Laura Ruotsalainen
17/06/2019
1 objekt av Mediabevakning
Press/media: !!Press / Media
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-UNIVERSITY OF HELSINKI: Data science may soon expose fake news
Keijo Heljanko & Laura Ruotsalainen
13/03/2019
1 objekt av Mediabevakning
Press/media: !!Press / Media
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UNIVERSITY OF HELSINKI : Data science may soon expose fake news
Keijo Heljanko & Laura Ruotsalainen
13/03/2019
1 objekt av Mediabevakning
Press/media: !!Press / Media
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Increasing masses of data may leave computers behind and cause an energy crisis
Keijo Heljanko & Laura Ruotsalainen
31/10/2018
1 objekt av Mediabevakning
Press/media: !!Press / Media