Paavo Nevalainen
PhD
paavo.nevalainen@utu.fi Office: Agora 452B Reception at Mondays on 12-12:00 ORCID identifier: https://orcid.org/0000-0002-7646-929X |
Areas of expertise
point cloud registration, open natural resource data, videometrics, sensor fusion
point cloud registration, open natural resource data, videometrics, sensor fusion
Research community or research topic
Data Analytics: Algorithmics and Computational Intelligence
Data Analytics: Algorithmics and Computational Intelligence
Biography
Worked hard on various fields, now soon to be retired!
Publications 
3 of 6
- Long-Term Autonomy in Forest Environment Using Self-Corrective SLAM (2022) New Developments and Environmental Applications of Drones: Proceedings of FinDrones 2020 Nevalainen Paavo, Movahedi Parisa, Peña Queralta Jorge, Westerlund Tomi, Heikkonen Jukka
(A4 Refereed article in a conference publication ) - Pose Estimation of Hurdles Athletes using OpenPose (2021) 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Jafarzadeh Pouya, Virjonen Petra, Nevalainen Paavo, Farahnakian Fahimeh, Heikkonen Jukka
(A4 Refereed article in a conference publication ) - Localization in Unstructured Environments: Towards Autonomous Robots in Forests with Delaunay Triangulation (2020)
- Remote Sensing
(A1 Refereed original research article in a scientific journal) - Machine learning-based mapping of micro-topographic earthquake-induced paleo Pulju moraines and liquefaction spreads from a digital elevation model acquired through laser scanning (2020)
- Geomorphology
(A1 Refereed original research article in a scientific journal) - Navigation and Mapping in Forest Environment Using Sparse Point Clouds (2020)
- Remote Sensing
(A1 Refereed original research article in a scientific journal) - Pattern recognition of LiDAR data and sediment anisotropy advocate a polygenetic subglacial mass-flow origin for the Kemijärvi hummocky moraine field in northern Finland (2020)
- Geomorphology
(A1 Refereed original research article in a scientific journal) - Towards dynamic forest trafficability prediction using open spatial data, hydrological modelling and sensor technology (2020)
- Forestry
(A1 Refereed original research article in a scientific journal) - Edge and Fog Computing Enabled AI for IoT-An Overview (2019) 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) Zhuo Zou, Yi Jin, Paavo Nevalainen, Yuxiang Huan, Jukka Heikkonen, Tomi Westerlund
(A4 Refereed article in a conference publication ) - Potentials of big data for integrated territorial policy development in the European growth corridors (Big Data & EGC)
– Steps towards data-driven corridor governance. Targeted Analysis. Practical Guide. (2019) Helka Kalliomäki, Ira Ahokas, Nicolas Balcom Raleigh, Jukka Heikkonen, Pekko Lindblom, Paavo Nevalainen, Ville Keränen, Siiri Silm, Anto Aasa
(D4 Published development or research report or study ) - Potentials of big data for integrated territorial policy development in the European growth corridors (Big Data & EGC). Targeted Analysis. Executive Summary (2019) Helka Kalliomäki, Ira Ahokas, Nicolas Balcom Raleigh, Jukka Heikkonen, Pekko Lindblom, Paavo Nevalainen, Ville Keränen, Siiri Silm, Anto Aasa
(D4 Published development or research report or study )
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