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Laura Ruotsalainen (author@helsinki.fi) earned her doctoral degree in 2013 from the Department of Pervasive Computing, Tampere University of Technology, Finland. She has been an associate professor of spatiotemporal data analysis for sustainability science in the Department of Computer Science at the University of Helsinki, Finland, since August 2018. She is also affiliated with the Finnish Geospatial Research Institute, where she has worked as a research professor since 2010. Her doctoral research was focused on vision-aided seamless indoor/outdoor pedestrian navigation. Her current research interests include, in addition to vision-aided navigation, the development of sophisticated data analysis means for robust navigation and situational awareness especially in urban areas, for Global Navigation Satellite Systems interference mitigation as well as for the utilization of spatiotemporal data for sustainability science.
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IEEE Journal of Indoor and Seamless Positioning and Navigation (2024): 25-35
2024 35th Conference of Open Innovations Association (FRUCT)pp.244-252, (2024)
GPS SOLUTIONSno. 2 (2023): 1-16
2023 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN)pp.1-8, (2023)
A. Masiero,P. Dabove,V Di Pietra, M. Piragnolo,A. Vettore, A. Guarnieri,C. Toth,V Gikas,H. Perakis,K-W Chiang,L. M. Ruotsalainen,S. Goel,
XXIV ISPRS CONGRESS IMAGING TODAY, FORESEEING TOMORROW, COMMISSION II (2022): 839-844
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