An android-based IoT system for vehicle monitoring and diagnostic
Bildiriler > Tam Metin Bildiri
Yazarlar: Ercument Turk, Moharram Challenger
2018 26th Signal Processing and Communications Applications Conference (SIU), , , Uluslararası, Tam Metin Bildiri, ss 1-4
Özet
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.