Weakly-supervised learning from ambient traffic data

Distributed acoustic sensing is a technology that captures real-world acoustic and vibration events at the speed of light. Just as a lighthouse serves as a reference point for navigating ships across the vast ocean, manholes can be employed as landmarks to determine the locations of other detected acoustic events around the cable.

During the summer of 2021, I had the privilege of supervising an internship project focused on localizing manholes within existing networks through learning from ambient data. Our team developed an innovative solution based on deep multiple instance learning, pushing the boundaries of utilizing ambient environment data for fiber sensing tasks with less human annotation. In addition, manhole also serves as the key accessing point and this approach holds great promise in enhancing operational efficiency of telecom carriers and reducing field work.

To Know More

  1. Ambient noise-based weakly supervised manhole localization methods over deployed fiber networks, Optics Express, 2023
  2. Laser Focus World - Photonics Hot List (May 12, 2023)
  3. Laser Focus World - Top Stories (May 25, 2023) AI/fiber-optic combo poised to improve telecommunications
Shaobo Han
Shaobo Han
Senior Researcher

Machine learning