Research output per year
Research output per year
Personal profile
Curriculum vitae
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
Fields of Science
- 113 Computer and information sciences
- Estimation algorithms
- Machine Learning
- Navigation algorithms
- Error modelling
- Sensor fusion
- spatio-temporal analysis
- Smart cities
International and National Collaboration
Publications and projects within past five years.
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Bridge over troubled water: Managing compatibility and conflicts 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., Jul 2021, (Submitted) In: Sustainability Science.Research output: Contribution to journal › Article › Scientific › peer-review
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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, p. 282-287 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
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A multi-site quad-band radio frequency interference monitoring alerting and reporting system
Morrison, A. J., Sokolova, N., Hakegard, J. E., Bryne, T. H. & Ruotsalainen, L., 2020, 2020 European Navigation Conference (ENC). Lange, E. (ed.). IEEE, 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
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Cooperative environment recognition utilizing UWB waveforms and CNNs
Mäkela, M., Rantanen, J., Ilinca, J., Kirkko-Jaakkola, M., Kaasalainen, S. & Ruotsalainen, L., 2020, 2020 European Navigation Conference (ENC). Lange, G. (ed.). IEEEResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
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Recent Advancement on the Use of Global Navigation Satellite System-Based Positioning for Intelligent Transport Systems
Dovis, F., Ruotsalainen, L., Toledo-Moreo, R., Kassas, Z. Z. M. & Gikas, V., Jul 2020, In: IEEE Intelligent Transportation Systems Magazine. 12, 3, p. 6-9 4 p.Research output: Contribution to journal › Editorial › Scientific
Open AccessFile
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Artificial Intelligence for Industrial Vision
01/03/2020 → 28/02/2022
Project: Research project
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SEAMLESS PEDESTRIAN INDOOR / OUTDOOR NAVIGATION
02/09/2019 → 31/03/2020
Project: Research project
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5G- assisted Ground-based Galileo-GPS receiver Group with Inertial and Visual Enhancement
01/03/2019 → 30/04/2020
Project: Research project