31 January 2013 The high-precision videometrics methods to determining absolute vertical benchmark
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Proceedings Volume 8759, Eighth International Symposium on Precision Engineering Measurement and Instrumentation; 87592F (2013) https://doi.org/10.1117/12.2016984
Event: International Symposium on Precision Engineering Measurement and Instrumentation 2012, 2012, Chengdu, China
Abstract
The mobile measurement equipment plays an important role in engineering measurement tasks and its measuring device is fixed with the vehicle platform. Therefore, how to correct the measured error in time that caused by swayed platform is a basic problem. Videometrics has its inherent advantages in solving this problem. First of all, videometrics technology is non-contact measurement, which has no effect on the target’s structural characteristics and motion characteristics. Secondly, videometrics technology has high precision especially for surface targets and linear targets in the field of view. Thirdly, videometrics technology has the advantages of automatic, real-time and dynamic. This paper is mainly for mobile theodolite.etc that works under the environment of absolute vertical benchmark and proposed two high-precision methods to determine vertical benchmark: Direct-Extracting, which is based on the intersection of plats under the help of two cameras; Benchmark-Transformation, which gets the vertical benchmark by reconstructing the level-plat. Two methods both have the precision of under 10 seconds by digital simulation and physical experiments. The methods proposed by this paper have significance both on the theory and application.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jinbo Liu, Jinbo Liu, Zhaokun Zhu, Zhaokun Zhu, "The high-precision videometrics methods to determining absolute vertical benchmark", Proc. SPIE 8759, Eighth International Symposium on Precision Engineering Measurement and Instrumentation, 87592F (31 January 2013); doi: 10.1117/12.2016984; https://doi.org/10.1117/12.2016984
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