Department of Built Environment

MeMo - Research Institute of Measuring and Modeling for the Built Environment

The goal of the Institute is to produce world-class research and development of the measurement technology in the field of construction and environmental engineering.

The institute's work is based on the novel approaches of 3D measuring and modelling research and knowledge management. In practice, this means the measuring and modelling of 3D objects, cities and people (using sensors, data collection, analysis etc.), creating location-based services, combining networks, creating virtual worlds as well as creating and transmitting knowledge, innovations and patents. KAP (knowledge based academic platform) methods and practices are used to integrate innovations and best practices into the society. KAP is both a way to share know-how within our team and to share the tacit knowledge to the rest of society.

Future challenges of the institute are to integrate spatial knowledge (including data measurement techniques, positioning, navigation, GIS) into the social value of the built environment and into housing, decision-making and future retail for healthier environments, smart places and cities.

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Centre of Excellence in Laser Scanning Research

MeMo is involved in the Centre of Excellence in Laser Scanning Research along with the Finnish Geospatial Research Institute, the University of Oulu and the University of Helsinki. A research group led by Hannu Hyyppä from the Department of Built Environment participates in the Centre of Excellence, which is led by Juha Hyyppä of the Finnish Geospatial Research Institute.


Latest publications

A Simple Semantic-Based Data Storage Layout for Querying Point Clouds

Sami El-Mahgary, Juho-Pekka Virtanen, Hannu Hyyppä 2020 ISPRS International Journal of Geo-Information

Accurate derivation of stem curve and volume using backpack mobile laser scanning

Eric Hyyppä, Antero Kukko, Risto Kaijaluoto, Joanne C. White, Michael A. Wulder, Jiri Pyörälä, Xinlian Liang, Xiaowei Yu, Yunsheng Wang, Harri Kaartinen, Juho Pekka Virtanen, Juha Hyyppä 2020 ISPRS Journal of Photogrammetry and Remote Sensing

Comparison of backpack, handheld, under-canopy UAV, and above-canopy UAV laser scanning for field reference data collection in boreal forests

Eric Hyyppä, Xiaowei Yu, Harri Kaartinen, Teemu Hakala, Antero Kukko, Mikko Vastaranta, Juha Hyyppä 2020 Remote Sensing

Under-canopy UAV laser scanning for accurate forest field measurements

Eric Hyyppä, Juha Hyyppä, Teemu Hakala, Antero Kukko, Michael A. Wulder, Joanne C. White, Jiri Pyörälä, Xiaowei Yu, Yunsheng Wang, Juho Pekka Virtanen, Onni Pohjavirta, Xinlian Liang, Markus Holopainen, Harri Kaartinen 2020 ISPRS Journal of Photogrammetry and Remote Sensing

A comparison of low-cost sensor systems in automatic cloud-based indoor 3D modeling

Matias Ingman, Juho Pekka Virtanen, Matti T. Vaaja, Hannu Hyyppä 2020 Remote Sensing

TKI-hankkeiden tuloksia toivotaan nykyistä paremmin jakoon

Kaisa Jaalama, Juhani Talvela, Hannu Hyyppä, Marika Ahlavuo, Hanna Lahtinen, Anne Kärki, Seliina Päällysaho 2020 AMK-lehti / UAS Journal

Evaluating the quality of TLS point cloud colorization

Arttu Julin, Matti Kurkela, Toni Rantanen, Juho Pekka Virtanen, Mikko Maksimainen, Antero Kukko, Harri Kaartinen, Matti T. Vaaja, Juha Hyyppä, Hannu Hyyppä 2020 Remote Sensing

Designing and building a cost-efficient survey drone

H. Kauhanen, P. Rönnholm, M. Vaaja, H. Hyyppä 2020 International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Modelling Permafrost Terrain Using Kinematic, Dual-Wavelength Laser Scanning

A. Kukko, H. Kaartinen, G. Osinski, J. Hyyppä 2020 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Humans use Optokinetic Eye Movements to Track Waypoints for Steering

Otto Lappi, Jami Pekkanen, Paavo Rinkkala, Samuel Tuhkanen, Ari Tuononen, Juho Pekka Virtanen 2020 Scientific Reports
More information on our research in the Research database.
Research database

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The 3D studio mainly contains 3D measuring devices such as laser scanners and cameras. In addition, the studio has workstations for data processing, 3D modeling and visualization.

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Otakaari 4

Mechanical engineering 1, K1. Address: Otakaari 4.

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Konetekniikka 1, Otakaari 4
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