Accuracy assessment of vehicles surface area measurement by means of statistical methods
Autor: | Pablo Rodríguez-Gonzálvez, Juan Mancera-Taboada, Diego González-Aguilera, Angel Muñoz-Nieto |
---|---|
Rok vydání: | 2013 |
Předmět: |
Surface (mathematics)
Engineering Laser scanning business.industry Applied Mathematics Condensed Matter Physics Coordinate-measuring machine Automation Area measurement Photogrammetry Close range photogrammetry Computer vision Artificial intelligence Electrical and Electronic Engineering business Instrumentation Statistical hypothesis testing |
Zdroj: | Measurement. 46:1009-1018 |
ISSN: | 0263-2241 |
DOI: | 10.1016/j.measurement.2012.04.021 |
Popis: | This paper presents an assessment of the different methods and techniques for measuring a vehicle’s surface area, including a close-range photogrammetric system with calibrated digital cameras, a mid-range laser scanning system and an expeditious method based on a specific tape measurement. These methods are compared with respect to their task-specific accuracy related to the area measurement by means of statistical test for the detection of the significant results. An uncertainty evaluation of these techniques is performed using a standard device that was previously calibrated with a coordinate measuring machine. The assessment of the gathered data reveals a potential for reducing the time and cost associated with close-range photogrammetry for vehicle surface area measurement and digitisation. |
Databáze: | OpenAIRE |
Externí odkaz: |