Yangmin Ding — accepted AI-conference papers

2023

Utility Polelocalization by Learning from Ambient Traces on Distributed Acoustic Sensing

Zhuocheng Jiang, Yue Tian, Yangmin Ding, Sarper Ozharar, Ting Wang

ICASSP 2023accepted

Utility pole detection and localization is the most fundamental application in aerial-optic cables using distributed acoustic sensing (DAS). The existing pole localization method recognizes the hammer knock signal on DAS traces by learning from knocking vibration patterns. However, it requires many…

Cited by 0 Source ↗Scholar ↗

2021

Automatic Fine-Grained Localization of Utility Pole Landmarks on Distributed Acoustic Sensing Traces Based on Bilinear Resnets

You Lu, Yue Tian, Shaobo Han, Eric Cosatto, Sarper Ozharar, Yangmin Ding

ICASSP 2021accepted

In distributed acoustic sensing (DAS) on aerial fiber-optic cables, utility pole localization is a prerequisite for any subsequent event detection. Currently, localizing the utility poles on DAS traces relies on human experts who manually label the poles’ locations by examining DAS signal patterns g…

Cited by 0 Source ↗Scholar ↗