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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An INS-assisted vector tracking receiver with multipath error estimation for dense urban canyons
Yan, Z., Ruotsalainen, L., Chen, X. & Tang, X., Apr 2023, In: GPS Solutions. 27, 2, 16 p.Research output: Contribution to journal › Article › Scientific › peer-review
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Computer Vision Based Planogram Compliance Evaluation
Laitala, J. & Ruotsalainen, L., Sep 2023, In: Applied Sciences (Switzerland). 13, 18, 24 p., 10145.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access -
Improved deep depth estimation for environments with sparse visual cues
Joswig, N., Ruotsalainen, L. & Autiosalo, J., 2023, In: Machine vision and applications. 34Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
A CNN Approach for 5G mmWave Positioning Using Beamformed CSI Measurements
Kia, G., Ruotsalainen, L. & Talvitie, J., 2022, 2022 INTERNATIONAL CONFERENCE ON LOCALIZATION AND GNSS (ICL-GNSS). Nurmi, J., Lohan, ES., Sospedra, JT., Kuusniemi, H. & Ometov, A. (eds.). IEEE, 7 p. (International Conference on Localization and GNSS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile -
A Comparison Between Uwb and Laser-based Pedestrian Tracking
Masiero, A., Dabove, P., Di Pietra, V., Piragnolo, M., Vettore, A., Guarnieri, A., Toth, C., Gikas, V., Perakis, H., Chiang, K-W., Ruotsalainen, L. M., Goel, S. & Gabela, J., 30 May 2022, XXIV ISPRS Congress (2022 edition). ISPRS, Vol. 43-B2. p. 839-844 6 p. (The international archives of the photogrammetry, remote sensing and spatial information sciences).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile
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MATINE Ruotsalainen 3 / 23 - 12 / 24
Joswig, N., Pajula, I. A., Saukkoriipi, M. P. & Ruotsalainen, L.
01/03/2023 → 31/12/2024
Project: Ministry funding
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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
Press/Media
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EUNIC AI Science Café: AI & Smart Mobility
06/06/2021
1 item of Media coverage
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 item of Media coverage
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 item of Media coverage
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 item of Media coverage
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 item of Media coverage
Press/Media: Press / Media