Mining raw GPS readings for deep profiling of location contexts - part III
While both outdoor and indoor localization methods are flourishing, how to properly marry them to offer pervasive localizability in urban areas remains open. Recently proposals on indoor-out door detection make the first step towards such an integration, yet complicated urban environments render suc...
Saved in:
Main Author: | Ong, Daniel De Quan |
---|---|
Other Authors: | Luo Jun |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/175962 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Mining raw GPS readings for deep profiling of location contexts - part II
by: Lim, Zi Hao
Published: (2024) -
Mining raw GPS readings for deep profiling context
by: Yap, Wee Kiat
Published: (2024) -
No perfect outdoors: towards a deep profiling of GNSS-based location contexts
by: Wang, Jin, et al.
Published: (2022) -
Smartphone GPS raw signal extraction and processing
by: Tham, Shermine Wen Yi
Published: (2019) -
Location identification using GPS coordinates
by: Liang, Choon Yam.
Published: (2011)