Low Fidelity Digital Twin for Automated Driving Systems: Use Cases and Automatic Generation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F24%3A00378768" target="_blank" >RIV/68407700:21730/24:00378768 - isvavai.cz</a>

Alternative codes found

RIV/68407700:21230/24:00378768

Result on the web

<a href="https://doi.org/10.3233/ATDE241206" target="_blank" >https://doi.org/10.3233/ATDE241206</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3233/ATDE241206" target="_blank" >10.3233/ATDE241206</a>

Result language

angličtina

Original language name

Low Fidelity Digital Twin for Automated Driving Systems: Use Cases and Automatic Generation

Original language description

Automated driving systems are an integral part of the automotive industry. Tools such as Robot Operating System and simulators support their development. However, in the end, the developers must test their algorithms on a real vehicle. To better observe the difference between reality and simulation–the reality gap–digital twin technology offers real-time communication between the real vehicle and its model. We present a low fidelity digital twin generator and describe situations where automatic generation is preferable to high fidelity simulation. We validate our approach of generating a virtual environment with a vehicle model by replaying the data recorded from the real vehicle.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 8th International Conference on Intelligent Traffic and Transportation (ICITT), incorporating the 8th International Conference on Communication and Network Technology (ICCNT), Florence, Italy, 16-18 September 2024

ISBN

978-1-64368-560-1

ISSN

2352-751X

e-ISSN

2352-7528

Number of pages

11

Pages from-to

318-328

Publisher name

IOS Press

Place of publication

Nieuwe Hemweg

Event location

Florence

Event date

Sep 16, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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