Location tracking using multi-sensor fusion and machine learning techniques
With the use of Global Positioning System (GPS), the precise location of any object or person can be determined accurately using satellite signals. However, GPS may not be useful when there are obstacles or building, in particular, in many indoor scenarios. Consequentially, an indoor location track...
Saved in:
Main Author: | Tan, Wei Sheng |
---|---|
Other Authors: | Law Choi Look |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/145051 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Multi sensor fusion for precious indoor location tracking using Android and machine learning
by: Liu, Wei
Published: (2022) -
Machine learning for multi-sensor data fusion
by: Ong, Yiin Lih
Published: (2019) -
Precision indoor location tracking using RSSI fingerprinting and machine learning
by: Kuan, Jeff Chow Zhi
Published: (2023) -
Sensor fusion and tracking for automated driving
by: Li, Ye
Published: (2020) -
Sensor network for object location determination using machine learning methods
by: Tan, Dajie.
Published: (2009)