Self-driving car ISEAUTO for research and education

Sell, Raivo; Leier, Mairo; Rassõlkin, Anton; Ernits, Juhan-Peep

doi:10.1109/rem.2018.8421793

Cited by 40 publications

(20 citation statements)

References 7 publications

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“…The concepts defining the DT should strongly consider vehicle autonomy. Some of the fundamental demands imposed on the AV include obeying the traffic rules, the possibility to travel long distances without traffic accidents, avoiding traffic congestions, and the ability to perform without human interaction [55]. There are 16 trillion automobile kilometers driven each year worldwide [56] under various environmental and traffic conditions that generate millions of unique situations in which AVs could fail.…”

Section: Electric Vehicles Including Selfdriving Vehiclesmentioning

confidence: 99%

Implementation of Digital Twins for electrical energy conversion systems in selected case studies

Demidova¹,

Kallaste²,

Kuts³

et al. 2021

PEAS

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Reference implementation of Digital Twins for electrical energy conversion systems is an important and open question in the industrial domain. Digital Twins can predict the future performance, behaviour, and maintenance needs of a complex system. Today the concept of Digital Twins is not only an emulation or simulation of the physical object along with its development history but also contains much information from the respective manufacturers and services. This paper presents the current stateoftheart of Digital Twins in relation to some interesting novel applications from different fields of electrical engineering. The objective of the paper is to give an overview of the successful application of Digital Twins in electrical energy conversion systems, such as industrial robotics and wind turbines; to discuss trends in applications like electric vehicles; and to suggest new applications, such as telescopes. Special attention is paid to the possible application of Digital Twins in faults diagnostics and prognostics of electrical energy conversion systems. Successful implementation of Digital Twins in any electrical energy conversion system diagnostics and prognostics allows for lowcost maintenance, higher utilization of the individual devices and systems, as well as lower usage of material and human resources. A SWOT analysis was performed for Digital Twin applications in electrical energy conversion systems. The latter is a useful analysis technique that explores possibilities for new achievements or solutions to existing problems and makes decisions about the best path.

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Section: Electric Vehicles Including Selfdriving Vehiclesmentioning

confidence: 99%

Implementation of Digital Twins for electrical energy conversion systems in selected case studies

Demidova¹,

Kallaste²,

Kuts³

et al. 2021

PEAS

View full text Add to dashboard Cite

show abstract

“…Finalmente, existen nuevos prototipos diseñados para ser puramente autónomos. Estos no cuentan con pedales ni volante, si no que se trata de vehículos alternativos que apuestan por una autonomía total [5].…”

Section: Figura 1: Estructura De Control De Un Vehículo Autónomounclassified

Caracterización de los sistemas de actuación para vehículos altamente automatizados

Sarabia¹,

Matute-Peaspan²,

Zubizarreta³

2020

XL Jornadas De Automática: Libro De Actas (Ferrol, 4-6 De Septiembre De 2019)

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“…Tallinn University of Technology (TalTech) developed a low-level control architecture of the cyber-physical system (CPS) first for a self-driving last-mile bus called iseAuto [1], [2]. Based on the same architecture, a new small-scale logistic robot BoxBot [3] has been developed to move goods in industrial environments.…”

Section: Introductionmentioning

confidence: 99%

Cyber-physical universal safety and crash detection system for autonomous robot

Pikner¹,

Malayjerdi²

2021

Robot. syst., appl.

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Multi-purpose mobile robots with a modular layout have become a hot research topic in recent years. The safe performance of these robot's operations is relying on the low-level cyber-physical system (CPS). In this paper, the scientific goals underscore the analysis of the computational (cyber) units for low-level real-time fault monitoring. The purpose of these units is to monitor control signals issued by other (cyber) units or sensors and if there is a safety-critical problem, then predefined actions can be triggered. The safety controller was built and tested on the TalTech iseAuto platform. Based on the results, a new multi-layer universal safety system was developed. In the first layer, all signals and messages are checked to be in a suitable range or order. The second layer detects if an accident is happening using crash sensors. The third layer includes remote control switches support. If a failure or malfunction occurs, the emergency action plan is executed to stop the vehicle safely.

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Self-driving car ISEAUTO for research and education

Cited by 40 publications

References 7 publications

Implementation of Digital Twins for electrical energy conversion systems in selected case studies

Implementation of Digital Twins for electrical energy conversion systems in selected case studies

Caracterización de los sistemas de actuación para vehículos altamente automatizados

Cyber-physical universal safety and crash detection system for autonomous robot

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