Personal mobile mapping on a backpack (PLS) is a novel innovation from FGI. The application uses various technologies: GNSS-IMU positioning, laser scanning, digital photography and data driven algorithms for improving the positioning in often GNSS denied urban space. PLS allows rapid data collection of complex environment without compromising the data coverage, precision and accuracy of data. The approach is a flexible solution for varied situations and mapping tasks in urban space, and applicable to e.g. building façade reconstruction, street mapping, urban arboculture and change detection.
The research aims at development of modern surveying practices, investigates alternative system and sensor layouts and performance related issues as well as formulates automated data processes for 3D modeling and seeks for methods for improving geometric quality of data and data fusion.

More information: Dr. Antero Kukko, Antero.Kukko(a)nls.fi

 

Capturing urban data with PLS

Above: 3D geometry and imagery are collected simultaneously using backpack PLS providing an efficient tool for urban mapping.

 

Point cloud model of a building

Above: Point cloud data collected with backpack PLS captures building geometry fast in high details and accuracy.