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Öğe Development of CAN and OBD-II Supported Experimental Setup for Vehicle ECU Data Acquisition(Institute of Electrical and Electronics Engineers Inc., 2022) Ceven, S.; Albayrak, A.; Bayir, R.Today, CAN Bus protocol is widely used in various technological fields such as industrial, medical or automotive. Data is provided from ECUs and diagnostic codes through the OBD-II system, which is a standard in vehicles. The aim of this study is to develop an experimental setup to analyze driver driving skills based on vehicle data obtained over CAN Bus protocol with an open-source software. In this study, an experimental setup with a PiCAN 2 module and an LCD touch screen compatible with Raspberry Pi 3 Model B+ has been developed. Thanks to the developed experimental setup, it is connected to the vehicle ECU via an OBD-II connector to obtain real-time ECU data of the vehicle. This article presents validation tests to determine the design and construction phases of the system and its functionality as a data logger. Python programming language CAN software library was used on the experimental setup. © 2022 IEEE.Öğe Drive Mode Estimation for Electric Vehicles via Fuzzy Logic(Institute of Electrical and Electronics Engineers Inc., 2018) Duran, F.; Ceven, S.; Bayir, R.Electric vehicles are widely used today. The biggest problem of electric vehicles are limited energy and limited range. Using energy efficiently is an important issue. In this study, we monitored an electric vehicle's systems and power consuming systems in real time. We predicted the optimal driving mode with electronic control unit using Fuzzy Logic Control. We tested system on electric golf car real time. The measurement parameters are transferred to Vehicle Control Unit via Controller Area Network. The driver can choose driving mode as economical driving, normal driving and sporty driving. Experimental results indicate that our Electronic Control Unit increases the driving range of the electric vehicle. © 2018 IEEE.Öğe Young Driver Gaze (YDGaze): Dataset for driver gaze analysis(Institute of Electrical and Electronics Engineers Inc., 2022) Ceven, S.; Albayrak, A.; Bayir, R.One of the most important factors in ensuring successful and safe driving in the road traffic network is the driver's sense of sight. The driver can determine the environmental factors in the traffic with his gaze and can predict the next move after evaluating it with the current driving position. In this process, the focus of the driver's gaze should be on the area to which the vehicle is heading. Driver eye movements and gaze analysis is a topic that has been intensively studied in recent years in 'Intelligent Driver Assistance Systems'. In this study, a data set was prepared with a group of 40 participants between the ages of 18-28 in order to determine which points the driver looked at while driving. The dataset was created by having each participant look at the labeled areas on the vehicle in turn for one minute. Experimental studies lasted approximately 11 days. Approximately 350 hours of work was carried out to prepare the obtained data set. © 2022 IEEE.
