Art
J-GLOBAL ID:202002226927259890
Reference number:20A0700208
A Study on Self-Driving Vehicle Simulation Environment using RC Cars
RCカーを用いた自動運転車両シミュレーション環境の構築
Author (6):
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Material:
Volume:
2020
Issue:
ICS-198
Page:
Vol.2020-ICS-198,No.13,1-8 (WEB ONLY)
Publication year:
Feb. 29, 2020
JST Material Number:
U0451A
Document type:
Proceedings
Article type:
原著論文
Country of issue:
Japan (JPN)
Language:
JAPANESE (JA)
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Semi thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
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JST classification (2):
JST classification
Category name(code) classified by JST.
Traffic control surveillance and regulations
, Artificial intelligence
Reference (13):
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Badue, C., Guidolini, R., Carneiro, R. V., Azevedo, P., Cardoso, V. B., Forechi, A., Jesus, L. F. R., Berriel, R. F., Paixão, T. M., Mutz, F. W., Oliveira-Santos, T. and de Souza, A. F.: Self-Driving Cars: A Survey, CoRR, Vol. abs/1901.04407 (online), available from (http://arxiv.org/abs/1901.04407) (2019).
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国土交通省 業績計画書/達成度報告書, https://www.mlit.go.jp/road/ir/ir-perform/ir-perform.html.
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厚生労働省資料, https://www.mhlw.go.jp/stf/shingi/2r98520000025aq3-att/2r98520000025ax5.pdf.
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国土交通省 交通流対策資料, https://www.meti.go.jp/committee/sankoushin/sangyougijutsu/chikyu_kankyo/yakusoku_souan_wg/pdf/005_07_00.pdf.
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Liang, X., Du, X., Wang, G. and Han, Z.: Deep Reinforcement Learning for Traffic Light Control in Vehicular Networks (2018).
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