Automated Probabilistic Digital Terrain Model generation from raw LiDAR data
DEM generation, full waveform LiDAR, Bayesian inference, uncertainty, automated mapping
Area: Engineering / Data processing methodology
Dates: April 2010 - April 2013
Funding: FCT - PTDC/EIA-CCO/102669/2008, FCOMP-01-0124-FEDER-010039
Research Units:
Centro de Geofísica de Évora (CGE) / Universidade de Évora (UE) - host institution
Centro de Investigação em Ciências Geo-Espaciais de Porto (CICGP)
Instituto de Engenharia de Sistemas e Computadores de Coimbra (INESCC)
Team members
- André Jalobeanu, research scientist at CGE, University of Évora (project lead)
- Cristina Gama, CGE, University of Évora
- David Berry, Physics department, University of Évora
- Luís Miguel Rato, Computer Science department, University of Évora
- Gil Gonçalves, INESC, University of Coimbra
- Jorge Santos, INESC, University of Coimbra and CRA, Belém (Brasil)
- José Gonçalves, CICG, University of Porto
- Sérgio Madeira, CICG, University of Porto
- Hélder Almeida, University of Porto (project intern)
- Paulo Sliva, University of Porto (project intern)
|
|
Thanks for visiting the project website and come back later for updates!
I'm busy now with the AGU papers but in January there will be a major update (work packages, etc.)
Now in San Francisco! Gil, André and Cristina are currently attending the AGU Fall Meeting http://sites.agu.org/fallmeeting/
The reverse engineering of the binary Riegl sdf format is complete, with the understanding of the sensor geometry.
Added new Sensor work package (separate from format, more general)
Georeferencing complete (including quaternion representation of IMU data).