Application of Deep Convolutional Neural Networks and Smartphone Sensors for Indoor Localization
Indoor localization systems are susceptible to higher errors and do not meet the current standards of indoor localization. Moreover, the performance of such approaches is limited by device dependence. The use of Wi-Fi makes the localization process vulnerable to dynamic factors and energy hungry. A...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-06-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/9/11/2337 |