The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B1-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 347–352, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-347-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 347–352, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-347-2022
 
30 May 2022
30 May 2022

INDOOR MAPPING WITH AN OMNIDIRECTIONAL CAMERA SYSTEM: PERFORMANCE ANALYSIS

A. Ladai1, C. Toth2, and Z. Toth3 A. Ladai et al.
  • 1Department of Manufacturing and Civil Engineering, Faculty of Engineering, NTNU – Norwegian University of Science and Technology, Gjøvik, 2815, Building B, Teknologiveien 22, Norway
  • 2Department of Civil, Environmental and Geodetic Engineering, The Ohio State University, USA
  • 3Alba Regia Technical Faculty, Óbuda University, Hungary

Keywords: Fisheye Sensors, Sensor Calibration, Point Cloud Generation, Surface Fitting, Performance Evaluation

Abstract. The use of BIM (Building Information Modeling), a component of the Digital Twin concept, is on the rise, and the need for indoor data is rapidly growing. BIM information is not only used for management purposes, but it is essential to support navigation indoors. Observing building interiors by optical sensors, such as cameras and laser scanners, has challenges as the image scale changes over a broad range in rooms and floors, and then complete coverage is required, requiring images taken from several locations with various camera orientations. Using 360° imaging sensors partially addresses the need for efficient wide FOV observations. In this study, we investigate the feasibility of using a 6-sensor omnidirectional/fisheye camera system and report about its performance.