Pub Date : 2018-10-01DOI: 10.1109/CEIT.2018.8751841
Nur Merdanoğlu, Pınar Onay Durdu
Usability and security are two of the inevitable but conflicting quality factors in today’s multi-user modern computing environment. Although usability is considered to be an essential component of a secure system, not many studies focused on these two factors together. This study aimed to determine the general trends regarding the usability and security issues. Therefore, a systematic mapping approach was applied with the articles published on these two issues together between years 2006 and 2016 to reveal the research trends in this research area. 179 papers, which were indexed in web of science, were included for the mapping. The results revealed that many researches dealt with usability and security issues. They reported problems of efficiency and learnability from usability perspective and authentication from security perspective. They mainly adopt usability evaluation methods rather than any specific usability-security specific method and a few proposed recommendations or a method for design or improvement of usable security.
在当今的多用户现代计算环境中，可用性和安全性是两个不可避免但相互冲突的质量因素。尽管可用性被认为是安全系统的重要组成部分，但将这两个因素放在一起进行研究的研究并不多。本研究旨在确定关于可用性和安全性问题的一般趋势。因此，本文采用系统的制图方法，将2006年至2016年在这两个问题上发表的文章结合起来，揭示该研究领域的研究趋势。179篇被web of science收录的论文被纳入地图绘制。结果表明，许多研究涉及可用性和安全性问题。他们从可用性的角度报告了效率和可学习性问题，从安全性的角度报告了身份验证问题。它们主要采用可用性评估方法，而不是任何特定的可用性-安全性特定方法和一些提出的建议或方法来设计或改进可用性安全性。
{"title":"A systematic mapping study of usability vs security","authors":"Nur Merdanoğlu, Pınar Onay Durdu","doi":"10.1109/CEIT.2018.8751841","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751841","url":null,"abstract":"Usability and security are two of the inevitable but conflicting quality factors in today’s multi-user modern computing environment. Although usability is considered to be an essential component of a secure system, not many studies focused on these two factors together. This study aimed to determine the general trends regarding the usability and security issues. Therefore, a systematic mapping approach was applied with the articles published on these two issues together between years 2006 and 2016 to reveal the research trends in this research area. 179 papers, which were indexed in web of science, were included for the mapping. The results revealed that many researches dealt with usability and security issues. They reported problems of efficiency and learnability from usability perspective and authentication from security perspective. They mainly adopt usability evaluation methods rather than any specific usability-security specific method and a few proposed recommendations or a method for design or improvement of usable security.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129910056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/CEIT.2018.8751799
Bedrettin Mahmut Kocagil, Sinan Ozcan, Ahmet Cagri Arican, Umit Mufit Guzey, E. H. Çopur, M. U. Salamci
Adaptive control methods are widely used for the control of both linear and nonlinear dynamical systems. Among the adaptive control approaches, Model Reference Adaptive Control (MRAC) method has a systematic design feature in which response of a stable reference model is targeted to be followed by the dynamical system. In general, Linear Time Invariant (LTI) Reference Models are considered in the MRAC design and the adaptation rule is formulated accordingly. In this paper, the linear reference model is altered with a stable nonlinear one and the adaptation rule is re-formulated to cope with the nonlinearity. The stable nonlinear reference model is generated by using the State Dependent Riccati Equation (SDRE) approach and the adaptation rule is also updated by using the same SDRE idea. The effects of altering the linear reference model to the nonlinear counterpart are shown in the MRAC formulations. In addition to the new MRAC formulations, the proposed MRAC algorithm is applied to a 3 DoF helicopter test bed to reveal the advantages of the nonlinear reference model.
{"title":"Adaptive Control of a 3 DoF Helicopter with Linear and Nonlinear Reference Models","authors":"Bedrettin Mahmut Kocagil, Sinan Ozcan, Ahmet Cagri Arican, Umit Mufit Guzey, E. H. Çopur, M. U. Salamci","doi":"10.1109/CEIT.2018.8751799","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751799","url":null,"abstract":"Adaptive control methods are widely used for the control of both linear and nonlinear dynamical systems. Among the adaptive control approaches, Model Reference Adaptive Control (MRAC) method has a systematic design feature in which response of a stable reference model is targeted to be followed by the dynamical system. In general, Linear Time Invariant (LTI) Reference Models are considered in the MRAC design and the adaptation rule is formulated accordingly. In this paper, the linear reference model is altered with a stable nonlinear one and the adaptation rule is re-formulated to cope with the nonlinearity. The stable nonlinear reference model is generated by using the State Dependent Riccati Equation (SDRE) approach and the adaptation rule is also updated by using the same SDRE idea. The effects of altering the linear reference model to the nonlinear counterpart are shown in the MRAC formulations. In addition to the new MRAC formulations, the proposed MRAC algorithm is applied to a 3 DoF helicopter test bed to reveal the advantages of the nonlinear reference model.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129184037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/CEIT.2018.8751771
Y. Aydin, F. Gurleyen
A method of designing adaptive controller for high performance active magnetic bearings (AMB) is represented. The approach combines two simple architectures often referred to as a Dynamic Feedback Linearization (DFL) and recent advances in adaptive control design techniques to form a new approach for AMB. The procedure enables the designer to explicitly define the desired closed loop dynamics. The result is a straight forward procedure that enables the design of a robust stabilizing adaptive controller that forces the system dynamics to the specified desired dynamics, despite disturbances, modelling uncertainties, and variations in AMB dynamics. This method also guarantees the robustness of both stability and system performance and enables the design for other unstable, magnetic levitation plants.
{"title":"Adaptive Optimal Control of MAGLEV Systems: : An Augmented Error Correction Technique","authors":"Y. Aydin, F. Gurleyen","doi":"10.1109/CEIT.2018.8751771","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751771","url":null,"abstract":"A method of designing adaptive controller for high performance active magnetic bearings (AMB) is represented. The approach combines two simple architectures often referred to as a Dynamic Feedback Linearization (DFL) and recent advances in adaptive control design techniques to form a new approach for AMB. The procedure enables the designer to explicitly define the desired closed loop dynamics. The result is a straight forward procedure that enables the design of a robust stabilizing adaptive controller that forces the system dynamics to the specified desired dynamics, despite disturbances, modelling uncertainties, and variations in AMB dynamics. This method also guarantees the robustness of both stability and system performance and enables the design for other unstable, magnetic levitation plants.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127592067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/CEIT.2018.8751929
Zeroual Abdelhafid, F. Harrou, Ying Sun
This paper addresses the problem of road traffic congestion detection. We propose an effective approach to detect traffic congestion by combining the piecewise switched linear traffic (PWSL) and Shewhart control scheme. This approach uses PWSL model to describe the evolution of traffic density, and Shewhart chart to detect traffic congestions based on residuals obtained from PWSL model. The PWSL-Shewhart approach is evaluated using traffic data from the four-lane State Route 60 (SR-60) freeway in California. Results indicate that our approach accomplished reliable detection of traffic congestion.
{"title":"Flexible and efficient model-based congestion detection approach","authors":"Zeroual Abdelhafid, F. Harrou, Ying Sun","doi":"10.1109/CEIT.2018.8751929","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751929","url":null,"abstract":"This paper addresses the problem of road traffic congestion detection. We propose an effective approach to detect traffic congestion by combining the piecewise switched linear traffic (PWSL) and Shewhart control scheme. This approach uses PWSL model to describe the evolution of traffic density, and Shewhart chart to detect traffic congestions based on residuals obtained from PWSL model. The PWSL-Shewhart approach is evaluated using traffic data from the four-lane State Route 60 (SR-60) freeway in California. Results indicate that our approach accomplished reliable detection of traffic congestion.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126569075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/CEIT.2018.8751794
E. Dogruguven, I. Ustoglu
Development of mission critical safety systems requires much effort as the resulted system will have impacts on the human life, property and environment. The design criteria such as data interchange between CPUs, synchronization, computation speed and diagnostic measures shall exhaustively be evaluated along with the effects of the parameters used in the reliability and safety calculations ex tunc. This study focuses on the average frequency of a dangerous failure of the safety function (PFHG). In comparison to formulas provided in IEC 61508, a comprehensive and innovative Markov model is proposed for diverse architecture, which helps to cover different safety relevant states to get quantitative results more correctly than provided in the standards and previous studies. The proposed model is applied to the vital computer to be used in the railway domain for CBTC metro and ERTMS ETCS systems and compared with the current models.
{"title":"Enhancement of Full Coverage Markov Model for Diverse Systems with Common Cause Failures","authors":"E. Dogruguven, I. Ustoglu","doi":"10.1109/CEIT.2018.8751794","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751794","url":null,"abstract":"Development of mission critical safety systems requires much effort as the resulted system will have impacts on the human life, property and environment. The design criteria such as data interchange between CPUs, synchronization, computation speed and diagnostic measures shall exhaustively be evaluated along with the effects of the parameters used in the reliability and safety calculations ex tunc. This study focuses on the average frequency of a dangerous failure of the safety function (PFHG). In comparison to formulas provided in IEC 61508, a comprehensive and innovative Markov model is proposed for diverse architecture, which helps to cover different safety relevant states to get quantitative results more correctly than provided in the standards and previous studies. The proposed model is applied to the vital computer to be used in the railway domain for CBTC metro and ERTMS ETCS systems and compared with the current models.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128068102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/CEIT.2018.8751853
Pelin Görgel, Nurşah Dincer
Brain cancer is one of the most fateful diseases today. Early diagnosis is of great importance in the treatment of this disease. To accomplish a fast and accurate diagnosis, numerous studies have been performed around the world. In this study, a computer aided tumor detection task is proposed for brain MR images. To prevent over-segmentation a set of methods such as bilateral, gauss, order statistics filters, morphological and sharpening operations are applied for denoising, emphasizing fine details and enhancement steps prior to watershed segmentation. Finally, a rule based elimination is proposed to reduce the false positive detections and increase the performance. Experimental results demonstrate that the proposed method is satisfying to detect brain tumors.
{"title":"Computer Aided Brain Tumor Detection via Rule Based Eliminated Watershed Segmentation","authors":"Pelin Görgel, Nurşah Dincer","doi":"10.1109/CEIT.2018.8751853","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751853","url":null,"abstract":"Brain cancer is one of the most fateful diseases today. Early diagnosis is of great importance in the treatment of this disease. To accomplish a fast and accurate diagnosis, numerous studies have been performed around the world. In this study, a computer aided tumor detection task is proposed for brain MR images. To prevent over-segmentation a set of methods such as bilateral, gauss, order statistics filters, morphological and sharpening operations are applied for denoising, emphasizing fine details and enhancement steps prior to watershed segmentation. Finally, a rule based elimination is proposed to reduce the false positive detections and increase the performance. Experimental results demonstrate that the proposed method is satisfying to detect brain tumors.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125598984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/CEIT.2018.8751814
Mustafa Çoban, Gökhan Gelen
Together with improvements in robot technology, the number of research conducted on the interaction between humans and robots has increased. As a result of these researches, collaborative robots (cobot) emerged. The fourth industrial revolution, usage of wearable technologies, and the internet of things increase the significance of cobot and its applications. In this study, the realization of human-robot collaboration in hybrid assembly systems in which humans and robots cooperate to perform assembly tasks is aimed. The interaction between human and robot is achieved by using a wearable armband that can sense muscle signals. By using this device, the end of human operation can be recognized by the robot. In order to carry out hybrid assembly, tasks to be performed by the human and the robot are determined, and a robot control algorithm is created to ensure that the products are assembled appropriately. As a performance test, elapsed time to assemble the same number of products with human-robot collaboration is compared with the assembly process performed by the robot alone. Results show that the hybrid assembly process with human-robot collaboration is faster and more effective than the assembly process performed by the robot alone.
{"title":"Realization of human-robot collaboration in hybrid assembly systems by using wearable technology","authors":"Mustafa Çoban, Gökhan Gelen","doi":"10.1109/CEIT.2018.8751814","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751814","url":null,"abstract":"Together with improvements in robot technology, the number of research conducted on the interaction between humans and robots has increased. As a result of these researches, collaborative robots (cobot) emerged. The fourth industrial revolution, usage of wearable technologies, and the internet of things increase the significance of cobot and its applications. In this study, the realization of human-robot collaboration in hybrid assembly systems in which humans and robots cooperate to perform assembly tasks is aimed. The interaction between human and robot is achieved by using a wearable armband that can sense muscle signals. By using this device, the end of human operation can be recognized by the robot. In order to carry out hybrid assembly, tasks to be performed by the human and the robot are determined, and a robot control algorithm is created to ensure that the products are assembled appropriately. As a performance test, elapsed time to assemble the same number of products with human-robot collaboration is compared with the assembly process performed by the robot alone. Results show that the hybrid assembly process with human-robot collaboration is faster and more effective than the assembly process performed by the robot alone.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132498648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/CEIT.2018.8751810
Burak Celen, Y. Oniz
In this work, the trajectory tracking control of an Unmanned Aerial Vehicle (UAV) has been realised using fuzzy logic and neural network based controllers. Parrot AR.Drone 2.0 has been selected as the test platform. For simulated and real-time experimental studies, a square shaped reference trajectory has been generated, and the discrepancies from this trajectory in x-and y-directions along with their derivatives have been employed as the input signals to the proposed controllers. The update rules for the neural network have been derived based on the variable structure systems theory to enable stable online tuning of the parameters. The obtained results indicate that both fuzzy logic and neural network controllers can be applied effectively to the trajectory tracking of a drone, and particularly neural networks with variable structure systems theory based learning algorithms exhibit a highly robust behaviour against disturbances.
{"title":"Trajectory Tracking of a Quadcopter Using Fuzzy Logic and Neural Network Controllers","authors":"Burak Celen, Y. Oniz","doi":"10.1109/CEIT.2018.8751810","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751810","url":null,"abstract":"In this work, the trajectory tracking control of an Unmanned Aerial Vehicle (UAV) has been realised using fuzzy logic and neural network based controllers. Parrot AR.Drone 2.0 has been selected as the test platform. For simulated and real-time experimental studies, a square shaped reference trajectory has been generated, and the discrepancies from this trajectory in x-and y-directions along with their derivatives have been employed as the input signals to the proposed controllers. The update rules for the neural network have been derived based on the variable structure systems theory to enable stable online tuning of the parameters. The obtained results indicate that both fuzzy logic and neural network controllers can be applied effectively to the trajectory tracking of a drone, and particularly neural networks with variable structure systems theory based learning algorithms exhibit a highly robust behaviour against disturbances.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129978532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/CEIT.2018.8751885
Mahdi Nezhad Asad, Ismail Cantürk, Fatih Genç, Lale Özyilmaz
Bone age assessment is one of the most important problems to assess Pediatric growth. Various methods have been investigated to develop bone age assessment. The study of bone age assessment helps to diagnose disorders in growth progress. It is very common to monitor growth progress with left hand x-ray images. There are many method such as Tanner-Whitehouse [TW], Greulich and Pyle (G&P) methods. In this paper, we applied convolutional neural network resnet50 by preprocessing the images using different filters based on edge detection to compare effects on CNN accuracy. The main purpose of the paper is to compare the effect of DoG filtering and à trous wavelet as preprocessing techniques on bone-age assessment. It has been proved that suggested methods improved the accuracy of CNN (resnet50) in filtered images compared to the result of the non-filtered ones. The ages between 0 and 7 are analyzed to assess bone for female, male, and female male together. It is observed that there is over% 14 improvement for Female for Male %11 and for male and female %10 percent between filtered images and non-filtered images. The proposed method reached% 87.78 female and% 80 for male within 7.9 month.
{"title":"Investigation of bone age assessment with convolutional neural network by using DoG filtering and à trous wavelet as preprocessing techniques","authors":"Mahdi Nezhad Asad, Ismail Cantürk, Fatih Genç, Lale Özyilmaz","doi":"10.1109/CEIT.2018.8751885","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751885","url":null,"abstract":"Bone age assessment is one of the most important problems to assess Pediatric growth. Various methods have been investigated to develop bone age assessment. The study of bone age assessment helps to diagnose disorders in growth progress. It is very common to monitor growth progress with left hand x-ray images. There are many method such as Tanner-Whitehouse [TW], Greulich and Pyle (G&P) methods. In this paper, we applied convolutional neural network resnet50 by preprocessing the images using different filters based on edge detection to compare effects on CNN accuracy. The main purpose of the paper is to compare the effect of DoG filtering and à trous wavelet as preprocessing techniques on bone-age assessment. It has been proved that suggested methods improved the accuracy of CNN (resnet50) in filtered images compared to the result of the non-filtered ones. The ages between 0 and 7 are analyzed to assess bone for female, male, and female male together. It is observed that there is over% 14 improvement for Female for Male %11 and for male and female %10 percent between filtered images and non-filtered images. The proposed method reached% 87.78 female and% 80 for male within 7.9 month.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133906286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/CEIT.2018.8751900
B. Korkmaz, Ugur Bugra Etlik, Aykut Beke, T. Kumbasar
In this study, we propose a fuzzy logic based self-driving car control system and its deployment into the JavaScript Racer game. In the design of the self-driving system, it is aimed to design an intelligent vehicle control system such that the racing car finishes the race in the shortest time without getting out of the road. To accomplish such a goal, the proposed intelligent driving system takes up and merges the frameworks of control theory, fuzzy logic and computer vision. In this structure, computer vision is used for lane detection while the fuzzy logic control is employed for positioning and regulating the speed of the racing car. The paper presents in detail the structure and design of the intelligent driving system by presenting all of its design steps. The efficiency of the fuzzy logic based self-driving racing car control system is shown with results collected from the game environment.
{"title":"Fuzzy Logic Based Self-Driving Racing Car Control System","authors":"B. Korkmaz, Ugur Bugra Etlik, Aykut Beke, T. Kumbasar","doi":"10.1109/CEIT.2018.8751900","DOIUrl":"https://doi.org/10.1109/CEIT.2018.8751900","url":null,"abstract":"In this study, we propose a fuzzy logic based self-driving car control system and its deployment into the JavaScript Racer game. In the design of the self-driving system, it is aimed to design an intelligent vehicle control system such that the racing car finishes the race in the shortest time without getting out of the road. To accomplish such a goal, the proposed intelligent driving system takes up and merges the frameworks of control theory, fuzzy logic and computer vision. In this structure, computer vision is used for lane detection while the fuzzy logic control is employed for positioning and regulating the speed of the racing car. The paper presents in detail the structure and design of the intelligent driving system by presenting all of its design steps. The efficiency of the fuzzy logic based self-driving racing car control system is shown with results collected from the game environment.","PeriodicalId":357613,"journal":{"name":"2018 6th International Conference on Control Engineering & Information Technology (CEIT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132283366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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