Utilizing IoT Technologies for Remote Diagnostics of Next Generation Vehicles

Dragojević, Marko; Stevic, Stevan; Stupar, Goran; Zivkov, Dusan

doi:10.1109/icce-berlin.2018.8576249

Cited by 8 publications

(5 citation statements)

References 4 publications

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“…Merging the two opportunities together, the existence of AUTOSAR provides the opportunity to integrate existing Internet of Things technologies to modern vehicles. In their work, Marko Dragojević et al [ 30 ] propose a solution for using IoT technologies in order to remotely diagnose modern vehicles. Their work uses already existing IoT technologies to enhance the automotive middleware, Adaptive AUTOSAR, in order to enable remote diagnosis and monitoring.…”

Section: Previous Workmentioning

confidence: 99%

Optimization of AUTOSAR Communication Stack in the Context of Advanced Driver Assistance Systems

Bogdan

Crişan-Vida

Barmayoun

et al. 2021

Sensors

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New trends in the automotive industry such as autonomous driving and Car2X require a large amount of data to be exchanged between different devices. Radar sensors are key components in developing vehicles of the future, therefore these devices are used in a large spectrum of applications, where data traffic is of paramount importance. As a result, communication traffic volumes have become more complex, leading to the research of optimization approaches to be applied at the AUTOSAR level. Our paper offers such an optimization solution at the AUTOSAR communication level. The radar sensor is accessed in a remote manner, and the experiments aimed at performance measurements revealed that our solution is superior to the Full AUTOSAR implementation in terms of memory usage and runtime measurements.

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Section: Previous Workmentioning

confidence: 99%

Optimization of AUTOSAR Communication Stack in the Context of Advanced Driver Assistance Systems

Bogdan

Crişan-Vida

Barmayoun

et al. 2021

Sensors

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“…However, Dragojevic et al [174] identify remote access to diagnostic data from a vehicle as a significant technical challenge. Traditional automotive architectures featured highly-specialized ECUs that were optimized for minimal functionality to balance safety concerns.…”

Section: Studies From the Automotive Sectormentioning

confidence: 99%

“…Steinkamp et al describe General Motors new OTA system which is capable of handling 4.5 TB of data per hour from vehicles (Steinkamp et al, 2019). However, Dragojević et al (2018) identify remote access to diagnostic data from a vehicle as a significant technical challenge. Traditional automotive architectures featured highly-specialized ECUs that were optimized for minimal functionality to balance safety concerns.…”

Section: Studies From the Automotive Sectormentioning

confidence: 99%

“…The proliferation of hybrid fault systems that blend different aspects and techniques reached 19% in the industrial control sec-tor, indicating the importance of further research into multiple-method solutions, where models are tuned by real-time data. Design-for-Certification was highlighted as a significant driver to ensure products could be deployed beyond the laboratory (Dragojević et al, 2018;Schwabacher and Goebel, 2007;Schwabacher et al, 2010).…”

Section: Conclusion Gaps and Future Workmentioning

confidence: 99%

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Finding faults: A scoping study of fault diagnostics for Industrial Cyber–Physical Systems

Dowdeswell

Sinha

MacDonell

2020

Journal of Systems and Software

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This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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“…Recently, Internet of Things (IoT) technology has connected various devices to the Internet and is expected to be applied in a wide range of fields such as medical [1], finance [2], automotive [3,4], and agriculture [5,6]. As a result of IoT technology, the amount of data processed by computers and information flowing through communication networks is rapidly increasing.…”

Section: Introductionmentioning

confidence: 99%

Cyclic reservoir neural network circuit for 3D IC implementation

Fukuda

Horio

Orima

et al. 2021

NOLTA

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Reservoir computing is a computational model inspired by the information processing of the brain. In particular, it shows high performance in time-series processing using recurrent neural network dynamics despite its simple structure. Furthermore, a simple learning algorithm only in the output layer is sufficient for training the entire network. Therefore, its efficient hardware implementation is highly expected. However, it is important for a reservoir network to have a rich variety of dynamics to deal with complex time-series information. To introduce rich dynamics in the reservoir network without degrading the network stability, a chaotic neural network reservoir was proposed. In this paper, we propose a cyclic reservoir neural network circuit suitable for a stacked three-dimensional (3D) integrated circuit (IC). Through 3D IC fabrication technology, in which several semiconductor substrates are vertically stacked and connected by through-silicon vias (TSVs), we can efficiently integrate the chaotic neural network reservoir circuit. We designed and fabricated a prototype IC chip of the proposed circuit with a TSMC 180 nm CMOS semiconductor process. We verified its operation through SPICE and MATLAB simulations and preliminary experiments with the fabricated prototype chip.

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Utilizing IoT Technologies for Remote Diagnostics of Next Generation Vehicles

Cited by 8 publications

References 4 publications

Optimization of AUTOSAR Communication Stack in the Context of Advanced Driver Assistance Systems

Optimization of AUTOSAR Communication Stack in the Context of Advanced Driver Assistance Systems

Finding faults: A scoping study of fault diagnostics for Industrial Cyber–Physical Systems

Cyclic reservoir neural network circuit for 3D IC implementation

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