PathGAN: Local path planning with attentive generative adversarial networks-Reference-Cited by-同舟云学术

PathGAN: Local path planning with attentive generative adversarial networks

Published:2022-09-15 Issue:6 Volume:44 Page:1004-1019
ISSN:1225-6463
Container-title:ETRI Journal
language:en
Short-container-title:ETRI Journal

Author:

Choi Dooseop¹^ORCID,Han Seung‐Jun¹^ORCID,Min Kyoung‐Wook¹,Choi Jeongdan¹

Affiliation:

1. Artificial Intelligence Research Laboratory Electronics and Telecommunications Research Institute Daejeon Republic of Korea

Funder

Institute for Information and Communications Technology Promotion

Publisher

Wiley

Subject

Electrical and Electronic Engineering,General Computer Science,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.4218/etrij.2021-0192

Reference42 articles.

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4. M.Bojarski D. D.Testa D.Dworakowski B.Firner B.Flepp P.Goyal L. D.Jackel M.Monfort U.Muller J.Zhang X.Zhang J.Zhao andK.Zieba End‐to‐end learning for self‐driving cars arXive Preprint 2016.https://doi.org/10.48550/arXiv.1604.07316

5. C.Chen A.Seff A.Kornhauser andJ.Xiao Deepdriving: learning affordance for direct perception in autonomous driving (IEEE International Conference on Computer Vision Santiago Chile) 2015 pp.2722–2730.

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