Using Deep Learning to Identify Utility Poles with Crossarms and Estimate Their Locations from Google Street View Images

Traditional methods of detecting and mapping utility poles are inefficient and costly because of the demand for visual interpretation with quality data sources or intense field inspection. The advent of deep learning for object detection provides an opportunity for detecting utility poles from side-...

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Bibliographic Details
Main Authors: Zhang, Weixing (Author), Witharana, Chandi (Author), Li, Weidong (Author), Zhang, Chuanrong (Author), Li, Xiaojiang (Contributor), Parent, Jason (Author)
Other Authors: Massachusetts Institute of Technology. Department of Urban Studies and Planning (Contributor)
Format: Article
Language:English
Published: Multidisciplinary Digital Publishing Institute, 2018-08-27T15:32:44Z.
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