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In this study, supporting mobile application based on machine learning in which the children can do drawing studies on basic geometric shapes is developed. Some feedback is provided to support the drawing of the children by creating a drawing platform in application. 5-class dataset consisting of straight line, triangle, rectangle, circle and ellipse shapes was created by choosing 6–8 years old children...
In this study, basic steps which is necessary to develop a mobile educator platform for children were explained using SVM (Support Vector Machine) and mobile platforms. In this system based on Support Vector Machines, it was asked for the children to draw basic geometric shapes and created a smart application that provide supportive feedback to them. It is aimed to develop basic education skill and...
The ability to utilize and link diverse sources of off-board and on-board information will play a crucial role in the design of the next generation of connected powertrain energy management functions and ADAS. This will lead to considerable development challenges, especially with respect to reproducible testing and validation. In this article, a seamless office-to-rig-to-road development methodology...
Today's Electric Vehicles (EVs) have limited driving ranges. Therefore, great efforts are being made in this direction, e.g. higher capacity batteries, powertrain efficiency, etc. This paper aims at gathering the information concerning the process of HMI concept definition, development and integration in an advanced co-simulation environment as a support tool for specific function development process...
Increasingly intelligent vehicle driving systems are rapidly being developed, and will in the future become a necessity for sustainable, convenient and safe mobility in our ever more urbanized world. This paper presents an innovative approach for the control of a fully electric vehicle approaching a road segment with Multiple Traffic Lights (TL). By utilizing Vehicle to Vehicle (V2V) and Vehicle-to-Infrastructure...
This paper briefly describes the latest achievements of a new functional vehicle system to overcome the range anxiety problem of Fully Electric Vehicles (FEV). This is primarily achieved by integrated control and operation strategies to optimize the driving range. The main focus of these control strategies is cooperated electric drivetrain and regenerative braking system. The diverse source of information...
In this paper, the Model Predictive Control (MPC) structure is used to solve the ACC problem and the performance of the design is tested using a realistic nonlinear vehicle model. A hierarchical control structure is used where MPC is placed on top of the hierarchy while the actuators are controlled by simpler linear controllers. The real-time optimization needed for MPC is solved using Quadratic Programming...
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