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Vision-Based Localization With Map Information

Author
Chu, Hang
Abstract
Maps are available for various types of environments. Most people can easily read maps and localize themselves. In this thesis we address this problem: Can computer algorithms make use of the map information, and effectively make associations between vision inputs provided by the camera and map clues, to localize the camera? To be specific, we focus on three different scenarios: outdoor localization, vehicle localization, and indoor localization.
Date Issued
2015-08-17Subject
Localization; Computer Vision
Committee Chair
Chen,Tsuhan
Committee Member
Saxena,Ashutosh
Degree Discipline
Electrical Engineering
Degree Name
M.S., Electrical Engineering
Degree Level
Master of Science
Type
dissertation or thesis