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.
Publications
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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 › peer-review
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The impact of innovative and emerging technologies on the surveying activities
Mancini, F., Piras, M., Ruotsalainen, L., Vacca, G. & Lingua, A., Apr 2020, In : Applied Geomatics. 12, SUPPL 1, p. 1-2 2 p.Research output: Contribution to journal › Editorial › Scientific
Open AccessFile -
Toward Autonomous Driving in Arctic Areas
Ruotsalainen, L., Renaudin, V., Pei, L., Piras, M., Marais, J., Cavalheri, E. & Kaasalainen, S., 2020, In : IEEE Intelligent Transportation Systems Magazine. 12, 3, p. 10-24 15 p.Research output: Contribution to journal › Article › Scientific › peer-review
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Combining visual, pedestrian, and collaborative navigation techniques for team based infrastructure free indoor navigation
Morrison, A., Ruotsalainen, L., Mäkelä, M., Rantanen, J. & Sokolova, N., 30 Sep 2019, Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019). Manassas, VA: INSTITUTE OF NAVIGATION, p. 2692-2701 10 p. (Institute of Navigation. Satellite Division. Proceedings of the International Technical Meeting ).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile -
On the Use of an Ultra-Tight Integration for Robust Navigation in Jammed Scenarios
Cristodaro, C., Falco, G., Ruotsalainen, L. & Dovis, F., 30 Sep 2019, Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019). Manassas, VA: INSTITUTE OF NAVIGATION, p. 2991-3004 14 p. (Institute of Navigation. Satellite Division. Proceedings of the International Technical Meeting ).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile
Projects
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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