Photo of Laura Ruotsalainen
  • PL 68 (Pietari Kalmin katu 5)

    00014

    Finland

20122019
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Personal profile

Curriculum vitae

 - 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

My current research interests cover vision-aided navigation, development of sophisticated data analysis means 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.

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 2012 2019

Combining visual, pedestrian, and collaborative navigation techniques for team based infrastructure free indoor navigation

Morrison, A., Ruotsalainen, L., Mäkelä, M., Rantanen, J. & Sokkolova, N., 30 Sep 2019, Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019). INSTITUTE OF NAVIGATION

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
File

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). INSTITUTE OF NAVIGATION

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
File

A new implementation of narrowband interference detection, characterization, and mitigation technique for a software-defined multi-GNSS receiver

Ferrara, N. G., Bhuiyan, M. Z. H., Soderholm, S., Ruotsalainen, L. & Kuusniemi, H., Oct 2018, In : GPS Solutions. 22, 4, 15 p., 106.

Research output: Contribution to journalArticleScientificpeer-review

Benefits and Limitations of the Record and Replay Approach for GNSS Receiver Performance Assessment in Harsh Scenarios

Cristodaro, C., Ruotsalainen, L. & Dovis, F., Jul 2018, In : Sensors. 18, 7, 18 p., 2189.

Research output: Contribution to journalArticleScientificpeer-review

Context Recognition in Infrastructure-Free Pedestrian Navigation Toward Adaptive Filtering Algorithm

Makela, M., Rantanen, J., Kirkko-Jaakkola, M. & Ruotsalainen, L., 1 Sep 2018, In : IEEE Sensors Journal. 18, 17, p. 7253-7264 12 p.

Research output: Contribution to journalArticleScientificpeer-review