Mechanical Engineering ETDs
Publication Date
2-1-2016
Abstract
A process for using ground-based photographic imagery to detect and locate power distribution assets is presented. The primary feature of the system presented here is it's very low cost compared to more traditional inspection methods because the process takes place entirely in virtual space. Specifically, the system can locate assets with a precision comparable to typical GPS units used for similar purposes, and can readily identify utility assets, for example, transformers, if appropriate training data are provided. Further human intervention would only be necessary in a small fraction of cases, where very high uncertainty is flagged by the system. The feasibility of the process is demonstrated here, and a path to full integration is presented.
Keywords
Utility poles, Google Street View, Geographic location of asset
Degree Name
Mechanical Engineering
Level of Degree
Masters
Department Name
Mechanical Engineering
First Committee Member (Chair)
Caudell, Thomas
Second Committee Member
Vorobief, Peter
Sponsors
Electric Power Research Institute (EPRI)
Document Type
Thesis
Language
English
Recommended Citation
Tariq, Hisham. "Geolocation of Utility Assets Using Omnidirectional Ground-Based Photographic Imagery." (2016). https://digitalrepository.unm.edu/me_etds/52
