Automated processing of point clouds to update land registry maps
2021-09-30, 14:00–14:30, Academic

The quality control, maintenance and renewal of the land registry maps have always been one of the priority issues in the surveying profession. In Hungary, a significant part of the current digital maps is based on old analogue maps that were digitized without involving any in-situ measurements. A direct consequence of this is that the digitized maps' accuracy lags behind maps based on either correct survey or numerical data. Besides, the quality of existing digital maps can be characterized by inhomogeneity which highly depends on the location. The final solution to the problem would have been to carry out new surveys in the critical areas, but that has been postponed due to the lack of time and high costs.

In Hungary, the original maps were developed typically in the non-metric scale of 1:2880 back in the 19th century. The primary issue is that the original maps were manually redrawn several times over the past century. Finally, these maps were digitized at the beginning of the 21st century. Each and every redraw, as well as digitalization, aggravated their geometric inaccuracy. It is quite common to have a few meters offset in the position of the features depicted in the land registry maps, which yields a wide variety of problems in applying maps, for instance, in public utility registration and engineering practice, like planning. It can be stated with confidence that countries facing the same issue are large in number worldwide.

Authors and Affiliations

Bence Péter Hrutka (1), Bence Takács (1), Zoltán Siki (1)
(1) Department of Geodesy and Surveying, Budapest University of Technology and Economics, Hungary




New trends: IoT, Indoor mapping, drones - UAV (unmanned aerial vehicle), Artificial intelligence - machine learning, deep learning-, geospatial data structures, real time raster analysis


2 - Basic. General basic knowledge is required.

Language of the Presentation


Teaching assistant at the Department of Geodesy and Surveying, Budapest University of Technology and Economics in Hungary.