Indoor mapping using audio reflections from mobile devices

Yang, Zhijian

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

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

Handle URL

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

Copyright and License Information

Copyright 2023 Zhijian Yang

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