|
Title
|
|
|
|
An android-based IoT system for vehicle monitoring and diagnostic
|
|
|
Author
|
|
|
|
|
|
|
Abstract
|
|
|
|
| In this study, a driver behavior analysis tool and an in-vehicle sensor data monitoring system are presented. The study offers a system based on low cost hardware and advanced software capabilities. The embedded system utilizes the information provided by in-car sensors using the Controller Area Network (CAN), an Inertial Measurement Unit (IMU) and a GPS. By combining this information, the driving performance and driving characteristics are determined. Thanks to the GPS position data, instantaneous speed and vehicle information will be displayed on a map based on location. In addition, dozens of vehicle-related sensor data can be accessed by users over the remote server. |
|
|
|
Language
|
|
|
|
English
|
|
|
Source (journal)
|
|
|
|
Signal Processing and Communications, SPCOM, International Conference on
|
|
|
Source (book)
|
|
|
|
2018 26th Signal Processing and Communications Applications Conference (SIU), 2-5 May, 2018, Izmir, Turkey
|
|
|
Publication
|
|
|
|
IEEE
,
2018
|
|
|
ISSN
|
|
|
|
2165-0608
|
|
|
ISBN
|
|
|
|
978-1-5386-1501-0
|
|
|
DOI
|
|
|
|
10.1109/SIU.2018.8404378
|
|
|
Volume/pages
|
|
|
|
p. 1-4
|
|
|
ISI
|
|
|
|
000511448500231
|
|
|
Full text (Publisher's DOI)
|
|
|
|
|
|
|
Full text (publisher's version - intranet only)
|
|
|
|
|
|