Turk E.Challenger M.2019-10-262019-10-2620189781538615010https://doi.org/10.1109/SIU.2018.8404378https://hdl.handle.net/11454/15918Aselsan;et al.;Huawei;IEEE Signal Processing Society;IEEE Turkey Section;Netas26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- 137780In 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. © 2018 IEEE.en10.1109/SIU.2018.8404378info:eu-repo/semantics/closedAccessAndroid ApplicationCAN-BUSInternet of ThingsVehicle MonitoringConference Object14N/A