University of Illinois Urbana-Champaign

Indoor mapping using audio reflections from mobile devices

Yang, Zhijian

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https://hdl.handle.net/2142/122140

Description

Title
Indoor mapping using audio reflections from mobile devices
Author(s)
Yang, Zhijian
Issue Date
2023-11-27
Director of Research (if dissertation) or Advisor (if thesis)
Roy Choudhury, Romit
Doctoral Committee Chair(s)
Roy Choudhury, Romit
Committee Member(s)
  • Nahrstedt, Klara
  • Vasisht, Deepak
  • Shangguan, Longfei
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
  • Localization and mapping
  • Sensing
  • Mobile computing
Abstract
With the advancement of mobile computing technologies, localization and mapping are becoming increasingly important topics in recent years. While a lot of work is appearing in the localization domain, mapping has much limited options. Mapping, more often than not, would require high resolution imaging sensors, which would reveal privacy information. In this thesis, we explore the possibility of privacy preserving indoor mapping using inertial and acoustic sensors on mobile devices, without using cameras. We addressed a number of challenges including calibrating inertial sensor drift and reasoning from noisy acoustic data. We built an end-to-end mapping pipeline, and evaluated it in real-world environments. We demonstrated a spatial audio based navigation application on top of the mapping result. The results are promising, and furthermore, this opens up the future research direction in the intersection of mobile computing, sensing, signal processing, and machine learning.
Graduation Semester
2023-12
Type of Resource
Thesis
Copyright and License Information
Copyright 2023 Zhijian Yang

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Graduate Theses and Dissertations at Illinois