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
Biography
Worked hard on various fields, now soon to be retired!
Publications 
1 of 2
- Long-Term Autonomy in Forest Environment Using Self-Corrective SLAM (2022) New Developments and Environmental Applications of Drones Nevalainen Paavo, Movahedi Parisa, Peña Queralta Jorge, Westerlund Tomi, Heikkonen Jukka
(Refereed article in compilation book (A3)) - 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
(Refereed article in conference proceedings (A4)) - Localization in Unstructured Environments: Towards Autonomous Robots in Forests with Delaunay Triangulation (2020)
- Remote Sensing
(Refereed journal article or data article (A1)) - 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
(Refereed journal article or data article (A1)) - Navigation and Mapping in Forest Environment Using Sparse Point Clouds (2020)
- Remote Sensing
(Refereed journal article or data article (A1)) - 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
(Refereed journal article or data article (A1)) - Towards dynamic forest trafficability prediction using open spatial data, hydrological modelling and sensor technology (2020)
- Forestry
(Refereed journal article or data article (A1)) - 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
(Refereed article in conference proceedings (A4)) - 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
(Published development or research report or study (D4)) - 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
(Published development or research report or study (D4)) - Potentials of big data for integrated territorial policy development in the European growth corridors (Big Data & EGC). Targeted Analysis. Synthesis Report (2019) Helka Kalliomäki, Ira Ahokas, Nicolas Balcom Raleigh, Jukka Heikkonen, Pekko Lindblom, Paavo Nevalainen, Ville Keränen, Siiri Silm, Anto Aasa
(Published development or research report or study (D4)) - Potentials of Big Data for Integrated Territorial Policy Development in the European Growth Corridors (Bigdata): Targeted Analysis. Final Main Report (2019) Helka Kalliomäki, Jukka Vahlo, Ira Ahokas, Nicolas Balcom Raleigh, Jukka Heikkonen, Pekko Lindblom, Ville Keränen, Paavo Nevalainen, Siiri Silm, Anto Aasa
(Published development or research report or study (D4)) - An Efficient Multi-sensor Fusion Approach for Object Detection in Maritime Environments (2018)
- Proceedings of the IEEE international conference on intelligent transportation systems
(Refereed article in conference proceedings (A4)) - Future Educational Technology with Big Data and Learning Analytics (2018)
- Proceedings of the IEEE International Symposium on Industrial Electronics
(Refereed article in conference proceedings (A4)) - Geometric data understanding : deriving case specific features (2018) Nevalainen Paavo
(Doctoral dissertation (article) (G5)) - Image Analysis and Development of Graphical User Interface for Pole Vault Action (2018)
- Journal of image and graphics
(Refereed journal article or data article (A1)) - Object Detection Based on Multi-sensor Proposal Fusion in Maritime Environment (2018) 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA) Fahimeh Farahnakian, Mohammad-Hashem Haghbayan, Jonne Poikonen, Markus Laurinen, Paavo Nevalainen, Jukka Heikkonen
(Refereed article in conference proceedings (A4)) - Potentials of big data for integrated territorial policy development in the European growth corridors (Big Data & EGC). Targeted analysis. Interim Report (2018) Helka Kalliomäki, Ira Ahokas, Nicolas Balcom Raleigh, Jukka Heikkonen, Pekko Lindblom, Paavo Nevalainen, Siiri Silm, Anto Aasa
(Published development or research report or study (D4)) - Ship Movement Prediction Using k-NN Method (2018) 2018 Baltic Geodetic Congress (BGC Geomatics 2018). 21-23 June 2018, Olsztyn, Poland. Proceedings Petra Virjonen, Paavo Nevalainen, Tapio Pahikkala, Jukka Heikkonen
(Refereed article in conference proceedings (A4)) - Tree Detection around Forest Harvester Based on Onboard LiDAR Measurements (2018) 2018 Baltic Geodetic Congress (BGC-Geomatics 2018), 21-23 June 2018, Olsztyn, Poland. Proceedings Sihvo Satu, Virjonen Petra, Nevalainen Paavo, Heikkonen Jukka
(Refereed article in conference proceedings (A4))
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