Generating Synthetic Vehicle Speed Records Using LSTM

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F23%3A00011353" target="_blank" >RIV/46747885:24220/23:00011353 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1007/978-3-031-34111-3_12" target="_blank" >https://doi.org/10.1007/978-3-031-34111-3_12</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-34111-3_12" target="_blank" >10.1007/978-3-031-34111-3_12</a>

Result language

angličtina

Original language name

Generating Synthetic Vehicle Speed Records Using LSTM

Original language description

Quality assurance testing of automotive electronic components such as navigation or infotainment displays requires data from genuine car rides. However, traditional static on-site testing methods are time-consuming and costly. To address this issue, we present a novel approach to generating synthetic ride data using Bidirectional LSTM, which offers a faster, more flexible, and environmentally friendly testing process. In this paper, we demonstrate the effectiveness of our approach by generating synthetic vehicle speed along a given route and evaluating the fidelity of the generated output using objective and subjective methods. Our results show that our approach achieves high levels of fidelity and offers a promising solution for quality assurance testing in the automotive industry. This work contributes to the growing research on generative machine learning models and their potential applications in the automotive industry.

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

<a href="/en/project/CK01000020" target="_blank" >CK01000020: Development of a GNSS route generator and CANBUS signal with machine learning using Software Defined Radio</a><br>

Continuities

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

Publication year

2023

Confidentiality

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

Article name in the collection

IFIP Advances in Information and Communication Technology

ISBN

978-3-031-34110-6

ISSN

18684238

e-ISSN

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Number of pages

12

Pages from-to

125-136

Publisher name

Springer Nature Switzerland

Place of publication

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Event location

León

Event date

Jan 1, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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