Pub Date : 2021-09-07DOI: 10.1109/ETFA45728.2021.9613417
Fady A. Abouelghit, Waleed Y. Alarid, Mostafa S. Elmanfalouty, Hagar S. ElSakka, Ibrahim E. Elamry, R. Daoud, H. Amer, M. Arafa
Object detection under a vehicle's undercarriage is receiving a lot of attention nowadays. This paper proposes a system to detect objects under a stationary vehicle, whether the object is on the ground or attached to the undercarriage. Sensor fusion is used to increase system accuracy. Ultrasonic sensors as well as a LiDAR are used in the proposed system. Fusion is performed at the individual sensor level first then data from both types of sensors is fused together to accurately detect and locate a potential object. Experiments were successfully conducted using a HC-SR04 ultrasonic sensor and a TFmini LiDAR. A flexible system is then proposed that can be tuned to the characteristics of other types of ultrasonic sensors and LiDARs.
{"title":"Sensor Fusion for Accurate Object Detection Underneath Stationary Vehicles","authors":"Fady A. Abouelghit, Waleed Y. Alarid, Mostafa S. Elmanfalouty, Hagar S. ElSakka, Ibrahim E. Elamry, R. Daoud, H. Amer, M. Arafa","doi":"10.1109/ETFA45728.2021.9613417","DOIUrl":"https://doi.org/10.1109/ETFA45728.2021.9613417","url":null,"abstract":"Object detection under a vehicle's undercarriage is receiving a lot of attention nowadays. This paper proposes a system to detect objects under a stationary vehicle, whether the object is on the ground or attached to the undercarriage. Sensor fusion is used to increase system accuracy. Ultrasonic sensors as well as a LiDAR are used in the proposed system. Fusion is performed at the individual sensor level first then data from both types of sensors is fused together to accurately detect and locate a potential object. Experiments were successfully conducted using a HC-SR04 ultrasonic sensor and a TFmini LiDAR. A flexible system is then proposed that can be tuned to the characteristics of other types of ultrasonic sensors and LiDARs.","PeriodicalId":312498,"journal":{"name":"2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134145396","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 : 2021-09-07DOI: 10.1109/ETFA45728.2021.9613369
Magnus Redeker, Christian Klarhorst, D. Göllner, Dennis Quirin, Peter Wißbrock, Simon Althoff, Marc Hesse
Today's high complexity and required expertise in various disciplines for data-based evaluations of shop-floor assets is challenging. This paper describes the ongoing development towards an Industry 4.0 ecosystem enabling Smart Services and shop-floor assets to network autonomously. Three partial solutions are combined for this purpose: Industry 4.0 digital twins, automated data streams and a Smart Service toolbox. A prototypical implementation proves the general practicability. Furthermore, future work is outlined to achieve full autonomy.
{"title":"Towards an Autonomous Application of Smart Services in Industry 4.0","authors":"Magnus Redeker, Christian Klarhorst, D. Göllner, Dennis Quirin, Peter Wißbrock, Simon Althoff, Marc Hesse","doi":"10.1109/ETFA45728.2021.9613369","DOIUrl":"https://doi.org/10.1109/ETFA45728.2021.9613369","url":null,"abstract":"Today's high complexity and required expertise in various disciplines for data-based evaluations of shop-floor assets is challenging. This paper describes the ongoing development towards an Industry 4.0 ecosystem enabling Smart Services and shop-floor assets to network autonomously. Three partial solutions are combined for this purpose: Industry 4.0 digital twins, automated data streams and a Smart Service toolbox. A prototypical implementation proves the general practicability. Furthermore, future work is outlined to achieve full autonomy.","PeriodicalId":312498,"journal":{"name":"2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134338712","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 : 2021-09-07DOI: 10.1109/ETFA45728.2021.9613719
Christian Härle, Mike Barth, A. Fay
The role of simulation in the engineering and operation of modular machines and plants is becoming increasingly important. Still, both the creation and the maintenance of the models require a considerable manual effort. To address this problem, previous publications introduced an assistance system for the automatic composition and configuration of co-simulations, focusing on models for the commissioning phase. In this paper, the authors extend the concept of the assistance system to the operation phase. The goal is to optimize the simulation with respect to accuracy and runtime. Evolutionary algorithms are used to generate different model configurations, which fulfill both goals to different degrees, and suggest a suitable variant to the operator. The concept has been prototypically validated using an industrial application example.
{"title":"Operation-parallel adaptation of a co-simulation for discrete manufacturing plants","authors":"Christian Härle, Mike Barth, A. Fay","doi":"10.1109/ETFA45728.2021.9613719","DOIUrl":"https://doi.org/10.1109/ETFA45728.2021.9613719","url":null,"abstract":"The role of simulation in the engineering and operation of modular machines and plants is becoming increasingly important. Still, both the creation and the maintenance of the models require a considerable manual effort. To address this problem, previous publications introduced an assistance system for the automatic composition and configuration of co-simulations, focusing on models for the commissioning phase. In this paper, the authors extend the concept of the assistance system to the operation phase. The goal is to optimize the simulation with respect to accuracy and runtime. Evolutionary algorithms are used to generate different model configurations, which fulfill both goals to different degrees, and suggest a suitable variant to the operator. The concept has been prototypically validated using an industrial application example.","PeriodicalId":312498,"journal":{"name":"2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131749642","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 : 2021-09-07DOI: 10.1109/ETFA45728.2021.9613675
P. Denzler, D. Ramsauer, Thomas Preindl, W. Kastner
The Fourth Industrial Revolution, or Industry 4.0, aims to advance flexibility and reconfigurability in current production systems. This paper sets cyber-physical production systems in context with Industry 4.0 concepts and architectures. The combination points out the importance of the interplay between communication and component reconfiguration when changes occur. A solution that utilizes fog computing, container-based deployment and Kubernetes functionality is presented and evaluated in simplified reconfiguration scenarios. The findings show the feasibility and the challenges of the solution and point towards further research to successfully create reconfigurable cyber-physical production systems.
{"title":"Communication and container reconfiguration for cyber-physical production systems","authors":"P. Denzler, D. Ramsauer, Thomas Preindl, W. Kastner","doi":"10.1109/ETFA45728.2021.9613675","DOIUrl":"https://doi.org/10.1109/ETFA45728.2021.9613675","url":null,"abstract":"The Fourth Industrial Revolution, or Industry 4.0, aims to advance flexibility and reconfigurability in current production systems. This paper sets cyber-physical production systems in context with Industry 4.0 concepts and architectures. The combination points out the importance of the interplay between communication and component reconfiguration when changes occur. A solution that utilizes fog computing, container-based deployment and Kubernetes functionality is presented and evaluated in simplified reconfiguration scenarios. The findings show the feasibility and the challenges of the solution and point towards further research to successfully create reconfigurable cyber-physical production systems.","PeriodicalId":312498,"journal":{"name":"2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133421427","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 : 2021-09-07DOI: 10.1109/ETFA45728.2021.9613420
João Braun, J. Lima, A. Pereira, Cláudia Rocha, P. Costa
Nowadays, with the availability of 3D printers, the scanners for objects are becoming increasingly present since they allow to replicate objects by 3D printing, especially for small scale sizes. However, the majority of these technologies are expensive, due to the complexity of this task. Therefore, this work presents a prototype of a low-cost 3D scanning system for small objects using a point cloud to stereolithography approach where it was already validated in simulation in previous work. This concept has a restriction that the objects must have a uniform shape, i.e, without discontinuities. The architecture is composed of two stepper motors, due to their precision, a rotating plate to allow 360 degrees scans and another rotating structure that allows the infrared distance sensor to scan the object from bottom to top (90 degrees). The prototype was validated in the real scenario with good results.
{"title":"Three-dimensional scanning system based on a low-cost infrared sensor","authors":"João Braun, J. Lima, A. Pereira, Cláudia Rocha, P. Costa","doi":"10.1109/ETFA45728.2021.9613420","DOIUrl":"https://doi.org/10.1109/ETFA45728.2021.9613420","url":null,"abstract":"Nowadays, with the availability of 3D printers, the scanners for objects are becoming increasingly present since they allow to replicate objects by 3D printing, especially for small scale sizes. However, the majority of these technologies are expensive, due to the complexity of this task. Therefore, this work presents a prototype of a low-cost 3D scanning system for small objects using a point cloud to stereolithography approach where it was already validated in simulation in previous work. This concept has a restriction that the objects must have a uniform shape, i.e, without discontinuities. The architecture is composed of two stepper motors, due to their precision, a rotating plate to allow 360 degrees scans and another rotating structure that allows the infrared distance sensor to scan the object from bottom to top (90 degrees). The prototype was validated in the real scenario with good results.","PeriodicalId":312498,"journal":{"name":"2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132285716","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 : 2021-09-07DOI: 10.1109/ETFA45728.2021.9613506
Shamoona Imtiaz, Jakob Danielsson, M. Behnam, Gabriele Capannini, Jan Carlson, Marcus Jägemar
In this paper, we discuss a method for automatic monitoring of hardware and software events using performance monitoring counters. Computer applications are complex and utilize a broad spectra of the available hardware resources, where multiple performance counters can be of significant interest to understand. The number of performance counters that can be captured simultaneously is, however, small due to hardware limitations in most modern computers. We suggest a platform independent solution to automatically retrieve hardware events from an underlying architecture. Moreover, to mitigate the hardware limitations we propose a mechanism that pinpoints the most relevant performance counters for an application's performance. In our proposal, we utilize the Pearson's correlation coefficient to rank the most relevant performance counters and filter out those that are most relevant and ignore the rest.
{"title":"Automatic Platform-Independent Monitoring and Ranking of Hardware Resource Utilization","authors":"Shamoona Imtiaz, Jakob Danielsson, M. Behnam, Gabriele Capannini, Jan Carlson, Marcus Jägemar","doi":"10.1109/ETFA45728.2021.9613506","DOIUrl":"https://doi.org/10.1109/ETFA45728.2021.9613506","url":null,"abstract":"In this paper, we discuss a method for automatic monitoring of hardware and software events using performance monitoring counters. Computer applications are complex and utilize a broad spectra of the available hardware resources, where multiple performance counters can be of significant interest to understand. The number of performance counters that can be captured simultaneously is, however, small due to hardware limitations in most modern computers. We suggest a platform independent solution to automatically retrieve hardware events from an underlying architecture. Moreover, to mitigate the hardware limitations we propose a mechanism that pinpoints the most relevant performance counters for an application's performance. In our proposal, we utilize the Pearson's correlation coefficient to rank the most relevant performance counters and filter out those that are most relevant and ignore the rest.","PeriodicalId":312498,"journal":{"name":"2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133146012","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 : 2021-09-07DOI: 10.1109/ETFA45728.2021.9613428
Christoph Lehnert, Grischan Engel, H. Steininger, R. Drath, Thomas Greiner
Due to the distributed architecture of cyber-physical production systems (CPPS), the design of automation software is difficult and error-prone. It requires process domain-specific knowledge and a service-oriented approach to be able to design a requirement-specific solution. Previous software design methods for CPPS have several drawbacks. Either these insufficiently take into account the properties of distributed systems or, in the case of Domain-Specific Languages (DSL), their focus lies on interaction logic rather than on production-specific specialties. Similarly, the possibilities for using information from the Asset Administration Shell (AAS) have so far not been integrated. Therefore, we propose a new service-oriented hierarchical DSL consisting of layers with different levels of abstraction, allowing successive and distributed software design with different degrees of detail. Hence, both process engineers and software engineers can work together during the software developing process. By incorporating information from the AAS, a static and also dynamic parameterization of the individual DSL services becomes possible. Finally, a case-study in the field of process engineering demonstrates the advantages and the applicability of the proposed approach.
{"title":"A Hierarchical Domain-Specific Language for Cyber-physical Production Systems Integrating Asset Administration Shells","authors":"Christoph Lehnert, Grischan Engel, H. Steininger, R. Drath, Thomas Greiner","doi":"10.1109/ETFA45728.2021.9613428","DOIUrl":"https://doi.org/10.1109/ETFA45728.2021.9613428","url":null,"abstract":"Due to the distributed architecture of cyber-physical production systems (CPPS), the design of automation software is difficult and error-prone. It requires process domain-specific knowledge and a service-oriented approach to be able to design a requirement-specific solution. Previous software design methods for CPPS have several drawbacks. Either these insufficiently take into account the properties of distributed systems or, in the case of Domain-Specific Languages (DSL), their focus lies on interaction logic rather than on production-specific specialties. Similarly, the possibilities for using information from the Asset Administration Shell (AAS) have so far not been integrated. Therefore, we propose a new service-oriented hierarchical DSL consisting of layers with different levels of abstraction, allowing successive and distributed software design with different degrees of detail. Hence, both process engineers and software engineers can work together during the software developing process. By incorporating information from the AAS, a static and also dynamic parameterization of the individual DSL services becomes possible. Finally, a case-study in the field of process engineering demonstrates the advantages and the applicability of the proposed approach.","PeriodicalId":312498,"journal":{"name":"2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128819627","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 : 2021-09-07DOI: 10.1109/ETFA45728.2021.9613670
Bastian Wollschlaeger, K. Kabitzsch
Building automation systems have enabled advanced applications for reducing energy consumption and providing comfort in living and working environments. This incurs increasing engineering complexity, raising the need for automated engineering approaches in the future. As a consequence, a high quantity of detailed formal models of building automation component functionality needs to be created by component manufacturers. However, this task is not yet sufficiently supported by design tools, which renders it very arduous and error-prone. As a possible solution, this paper aims to provide a foundation for developing appropriate support functionality. Based on a detailed analysis of available knowledge sources for modeling support, exemplary suggestion services are discussed and evaluated. These web-based services can be integrated in legacy modeling tools in order to reduce the overall effort of the component modeling process by 60 % to 70 %.
{"title":"Knowledge-based Services for Creating Functional Models of Building Automation Components","authors":"Bastian Wollschlaeger, K. Kabitzsch","doi":"10.1109/ETFA45728.2021.9613670","DOIUrl":"https://doi.org/10.1109/ETFA45728.2021.9613670","url":null,"abstract":"Building automation systems have enabled advanced applications for reducing energy consumption and providing comfort in living and working environments. This incurs increasing engineering complexity, raising the need for automated engineering approaches in the future. As a consequence, a high quantity of detailed formal models of building automation component functionality needs to be created by component manufacturers. However, this task is not yet sufficiently supported by design tools, which renders it very arduous and error-prone. As a possible solution, this paper aims to provide a foundation for developing appropriate support functionality. Based on a detailed analysis of available knowledge sources for modeling support, exemplary suggestion services are discussed and evaluated. These web-based services can be integrated in legacy modeling tools in order to reduce the overall effort of the component modeling process by 60 % to 70 %.","PeriodicalId":312498,"journal":{"name":"2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133785057","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 : 2021-09-07DOI: 10.1109/ETFA45728.2021.9613451
Anton Pfeifer, V. Lohweg
In the contribution at hand, multilayer feedforward neural networks based on multi-valued neurons (MLMVN) are applied on a classification problem in the context of cyber-physical systems. MLMVN are a specific type of complex valued-neural networks. The aim is to apply MLMVN on a benchmark dataset and to classify individual states of a motor (one non-fault state and 10 different fault states). For the multi-class classification problem, an evaluation of selected real-valued and complex-valued feedforward neural networks is considered. One finding is that in terms of accuracy, shallow MLMVN significantly outperform similarly constructed real-valued feedforward neural networks on the benchmark dataset. Thus, the high efficiency of such networks could be an advantage when processing data locally in order to improve robustness, performance, and reduce energy consumption on the system in use.
{"title":"Classification of Faults in Cyber-Physical Systems with Complex-Valued Neural Networks","authors":"Anton Pfeifer, V. Lohweg","doi":"10.1109/ETFA45728.2021.9613451","DOIUrl":"https://doi.org/10.1109/ETFA45728.2021.9613451","url":null,"abstract":"In the contribution at hand, multilayer feedforward neural networks based on multi-valued neurons (MLMVN) are applied on a classification problem in the context of cyber-physical systems. MLMVN are a specific type of complex valued-neural networks. The aim is to apply MLMVN on a benchmark dataset and to classify individual states of a motor (one non-fault state and 10 different fault states). For the multi-class classification problem, an evaluation of selected real-valued and complex-valued feedforward neural networks is considered. One finding is that in terms of accuracy, shallow MLMVN significantly outperform similarly constructed real-valued feedforward neural networks on the benchmark dataset. Thus, the high efficiency of such networks could be an advantage when processing data locally in order to improve robustness, performance, and reduce energy consumption on the system in use.","PeriodicalId":312498,"journal":{"name":"2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124153860","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 : 2021-09-07DOI: 10.1109/ETFA45728.2021.9613621
Mehmet Onur Aybek, Rodolfo Jordão, John Lundbäck, Kurt-Lennart Lundbäck, Matthias Becker
The size and complexity of automotive software systems are steadily increasing. Software functions are subject to different requirements and belong to different functional domains of the car. Meanwhile, streaming applications have become increasingly relevant in emerging application areas such as Advanced Driving Assistance Systems. Among models for streaming applications, the Synchronous Data Flow model is well-known for its analysable properties. This work presents transformation rules that allow transforming applications described by the Synchronous Data Flow model to an automotive component model. The proposed transformation rules are implemented in form of a software plugin for an automotive tool suite that allows for timing analysis, code synthesis and deployment to a Real-Time Operating System. To demonstrate the applicability of the proposed approach, a case study of a Kalman filter that is part of a simplified cruise control application is presented. An abstract Synchronous Data Flow model of the filter is transformed into a component that is deployed on an Electronic Control Unit with hard timing guarantees.
{"title":"From the Synchronous Data Flow Model of Computation to an Automotive Component Model","authors":"Mehmet Onur Aybek, Rodolfo Jordão, John Lundbäck, Kurt-Lennart Lundbäck, Matthias Becker","doi":"10.1109/ETFA45728.2021.9613621","DOIUrl":"https://doi.org/10.1109/ETFA45728.2021.9613621","url":null,"abstract":"The size and complexity of automotive software systems are steadily increasing. Software functions are subject to different requirements and belong to different functional domains of the car. Meanwhile, streaming applications have become increasingly relevant in emerging application areas such as Advanced Driving Assistance Systems. Among models for streaming applications, the Synchronous Data Flow model is well-known for its analysable properties. This work presents transformation rules that allow transforming applications described by the Synchronous Data Flow model to an automotive component model. The proposed transformation rules are implemented in form of a software plugin for an automotive tool suite that allows for timing analysis, code synthesis and deployment to a Real-Time Operating System. To demonstrate the applicability of the proposed approach, a case study of a Kalman filter that is part of a simplified cruise control application is presented. An abstract Synchronous Data Flow model of the filter is transformed into a component that is deployed on an Electronic Control Unit with hard timing guarantees.","PeriodicalId":312498,"journal":{"name":"2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117020099","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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