The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Esta pesquisa desenvolve um novo método de controle automático de trajetória para um modelo de carro baseado na modelagem just-in-time. O objetivo é que muitos dados básicos de condução para diversas situações sejam acumulados em um banco de dados, e possamos realizar o acompanhamento automático de caminhos para estradas desconhecidas usando apenas os dados do banco de dados. Especialmente, a modelagem just-in-time é repetidamente utilizada para seguir os pontos desejados em uma determinada estrada. A partir dos resultados de uma simulação numérica, verifica-se que o novo método proposto pode fazer o carro seguir os pontos desejados em uma determinada estrada com pequenos erros, além de apresentar alta eficiência computacional.
Tatsuya KAI
Tokyo University of Science
Mayu NOBUMIYA
Joyson Safety Systems Japan Co., Ltd.
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Tatsuya KAI, Mayu NOBUMIYA, "A Data-Driven Control Approach to Automatic Path Following for a Car Model Based on Just-in-Time Modeling" in IEICE TRANSACTIONS on Fundamentals,
vol. E106-A, no. 4, pp. 689-691, April 2023, doi: 10.1587/transfun.2022EAL2062.
Abstract: This research develops a new automatic path following control method for a car model based on just-in-time modeling. The purpose is that a lot of basic driving data for various situations are accumulated into a database, and we realize automatic path following for unknown roads by using only data in the database. Especially, just-in-time modeling is repeatedly utilized in order to follow the desired points on the given road. From the results of a numerical simulation, it turns out that the proposed new method can make the car follow the desired points on the given road with small error, and it shows high computational efficiency.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2022EAL2062/_p
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@ARTICLE{e106-a_4_689,
author={Tatsuya KAI, Mayu NOBUMIYA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Data-Driven Control Approach to Automatic Path Following for a Car Model Based on Just-in-Time Modeling},
year={2023},
volume={E106-A},
number={4},
pages={689-691},
abstract={This research develops a new automatic path following control method for a car model based on just-in-time modeling. The purpose is that a lot of basic driving data for various situations are accumulated into a database, and we realize automatic path following for unknown roads by using only data in the database. Especially, just-in-time modeling is repeatedly utilized in order to follow the desired points on the given road. From the results of a numerical simulation, it turns out that the proposed new method can make the car follow the desired points on the given road with small error, and it shows high computational efficiency.},
keywords={},
doi={10.1587/transfun.2022EAL2062},
ISSN={1745-1337},
month={April},}
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TY - JOUR
TI - A Data-Driven Control Approach to Automatic Path Following for a Car Model Based on Just-in-Time Modeling
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 689
EP - 691
AU - Tatsuya KAI
AU - Mayu NOBUMIYA
PY - 2023
DO - 10.1587/transfun.2022EAL2062
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E106-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 2023
AB - This research develops a new automatic path following control method for a car model based on just-in-time modeling. The purpose is that a lot of basic driving data for various situations are accumulated into a database, and we realize automatic path following for unknown roads by using only data in the database. Especially, just-in-time modeling is repeatedly utilized in order to follow the desired points on the given road. From the results of a numerical simulation, it turns out that the proposed new method can make the car follow the desired points on the given road with small error, and it shows high computational efficiency.
ER -