PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The probability of the extreme true errors on each survey point excess the bound of the true errors and the variation of the root-mean-square errors with the sample size of the detection, are analyzed by the comparison of the detected value and the approximate true value. The reliability of the evaluation of the detection precision with the index of the inner conformance precision in the positioning of the open-cut cable ducts by the inertial positioner of 3D trajectory is studied. It is found that increasing the numbers of data set participating in calculation is beneficial to enhancing the detection precision, when the data satisfy the requirement of the inner conformance precision index. However, the enhancement is limited and not much, for the open-cut cable ducts. The means of 1-set detected coordinates can be used as the detection results for the common open-cut cable ducts.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zhe Song andJingcheng Wang
"Reliability of inner conformance precision index for inertial positioner of 3D trajectory applied to underground cable duct", Proc. SPIE 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023), 1297812 (23 January 2024); https://doi.org/10.1117/12.3021022
ACCESS THE FULL ARTICLE
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The alert did not successfully save. Please try again later.
Zhe Song, Jingcheng Wang, "Reliability of inner conformance precision index for inertial positioner of 3D trajectory applied to underground cable duct," Proc. SPIE 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023), 1297812 (23 January 2024); https://doi.org/10.1117/12.3021022