Automatic detection of a one dimensional ranging pole for robust external camera calibration in mobile mapping |
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| Institution: | 1. Department of Telecommunications and Information Processing (UGent-TELIN-IPI-IBBT), Ghent University, St-Pietersnieuwstraat 41, B-9000 Ghent, Belgium;2. Grontmij Belgium NV, Meersstraat 138A, B-9000 Ghent, Belgium;1. Geospatial Data Analytics Lab, The Ohio State University, Columbus, USA;2. Department of Civil, Environmental and Geodetic Engineering, The Ohio State University, Columbus, USA;3. Department of Electrical and Computer Engineering, The Ohio State University, Columbus, USA;4. Translational Data Analytics Institute, The Ohio State University, Columbus, USA;1. Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado;2. Department of Community and Behavioral Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado;3. Division of Medical Oncology and Cancer Prevention and Control Program, University of Colorado Anschutz Medical Campus, Aurora, Colorado;4. Pulmonary Section, Rocky Mountain Regional VA Medical Center, Aurora, Colorado;5. Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado;6. Department of Medicine, University of Washington, WWAMI–Spokane, Spokane, Washington;7. Sound Critical Care, Sacred Heart Medical Center, Spokane, Washington;1. School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430079, China;2. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China;3. Univ Calgary, Dept Geomat Engn, Schulich Sch Engn, 2500 Univ Dr NW, Calgary, AB T2N 1N4, Canada;4. School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China;5. Changjiang River Scientific Research Institute, Wuhan 430082, China;6. Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin 541000, China;1. Grupo de Investigación en Osteoporosis y Metabolismo Mineral, Instituto Universitario de Investigaciones Biomédicas y Sanitarias, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Gran Canaria, España;2. Unidad Metabólica Ósea, Hospital Universitario Insular, Las Palmas de Gran Canaria, Gran Canaria, España;3. Departamento de Medicina, Universidad de Sevilla, Sevilla, España |
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| Abstract: | A mobile mapping system (MMS) is the answer of the geoinformation community to the exponentially growing demand for various geospatial data with increasingly higher accuracies, captured by multiple sensors. As the mobile mapping technology is pushed to explore its use for various applications on water, rail, or road, the need emerges to have an external sensor calibration procedure that is portable, fast and easy to perform. This way, sensors can be mounted and demounted depending on the application requirements without the need for time consuming calibration procedures. A new methodology is presented to provide a high quality external calibration of cameras which is automatic, robust and fool proof. The method uses a portable, standard ranging pole which needs to be positioned on a known ground control point. While the literature focuses on solving the absolute orientation problem of the calibration, an automatic method to detect the calibration object is missing. Here, we present a mutual information based image registration technique for automatic sub-pixel localization of the ranging pole under realistic outdoor conditions. We include several robust error detection rules to allow the calibration to run without human intervention, giving as little outliers as possible, to ensure a correct calibration. Several tests are performed under various lighting and noise conditions which prove the methodology’s robustness. |
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| Keywords: | Mobile Mapping Automation Camera Calibration Registration |
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