Probabilistic map matching of sparse and noisy smartphone location data

There is an immense amount of location data being collected today from smartphone users by various service providers. Due to bandwidth and battery-life considerations, smartphone locations are generally sampled at sparse intervals using energy-efficient, but inaccurate, alternatives to the power-hun...

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Bibliographic Details
Main Authors: Jagadeesh, George Rosario, Srikanthan, Thambipillai
Other Authors: School of Computer Science and Engineering
Format: Conference or Workshop Item
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/10356/145769
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Institution: Nanyang Technological University
Language: English

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