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AGILE: GIScience Series Open-access proceedings of the Association of Geographic Information Laboratories in Europe
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Articles | Volume 3
AGILE GIScience Ser., 3, 52, 2022
AGILE GIScience Ser., 3, 52, 2022
11 Jun 2022
11 Jun 2022

Precision mapping through an RGB-Depth camera and deep learning

Georgios Petrakis and Panagiotis Partsinevelos Georgios Petrakis and Panagiotis Partsinevelos
  • School of Mineral Resources Engineering, Technical University of Crete, Chania, Greece

Keywords: SLAM, deep learning, surveying, precision-mapping

Abstract. Recent progress on geospatial and sensory, artificial intelligence technologies defines the necessity to revisit conventional geodetic techniques for surveying and mapping. In the present study, an alternative novel surveying method is implemented, which enables the precise localization of characteristic points in any area, including unknown and GNSS-denied environments, by simply using low-cost cameras. The methodology is based on novel algorithms that combine simultaneous localization and mapping (SLAM), deep learning, point-cloud processing, along with coordinate systems’ transformations. The camera system subsequently detects and localizes target markers and reconstructs a 3D environment with relative coordinate estimations under a few centimeters-level of accuracy.

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