INDOOR MAPPING WITH AN OMNIDIRECTIONAL CAMERA SYSTEM: PERFORMANCE ANALYSIS
- 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.