Model-based Approach for Building Trust in Autonomous Drones through Digital Twins
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00126492" target="_blank" >RIV/00216224:14330/22:00126492 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9945227" target="_blank" >https://ieeexplore.ieee.org/document/9945227</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SMC53654.2022.9945227" target="_blank" >10.1109/SMC53654.2022.9945227</a>
Alternative languages
Result language
angličtina
Original language name
Model-based Approach for Building Trust in Autonomous Drones through Digital Twins
Original language description
The 21st century is the age of automation. The automotive industry is converging towards deployment of com- plete automation by 2030. But are humans ready for it, or will they be hesitant to adopt it due to the lack of trust? To safeguard future autonomous mobility, robust run-time trust assurance and assessment is necessary. One strategy that is so far under-explored is rooted in involving the intelligence inside the autonomous agents, which could be directed towards detection of trust-breaking behaviour in other agents so that problematic vehicles are reported before they can engage in harmful behaviour. To support the progress in this direction, we propose a peer-to- peer model-based run-time trust assessment method, employing the model in terms of a Digital Twin for an autonomous vehicle (drone in our case) to ensure the trusted execution of intelligent agents. In this research, we examine the role of the Digital Twin in the trust-building scenario, and propose the characteristics of the intended Digital Twin model. To illustrate the approach, we present a case study of an autonomous-drone food delivery system and use formal approaches such as Petri Nets and Finite State Machines (FSM) to evaluate the scenario and demonstrate how trust could be built among autonomous drones or other vehicles.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
<a href="/en/project/EF19_073%2F0016943" target="_blank" >EF19_073/0016943: Internal grant agency of Masaryk University</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
ISBN
9781665452588
ISSN
1062-922X
e-ISSN
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Number of pages
7
Pages from-to
656-662
Publisher name
IEEE
Place of publication
USA
Event location
USA
Event date
Jan 1, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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