Pose-graph neural network classifier for global optimality prediction in 2D SLAM

Rana Azzam, Felix H. Kong, Tarek Taha, Yahya Zweiri

Research output: Contribution to journal › Article › peer-review

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Note: This work was supported by the Khalifa University of Science and Technology under Award CIRA-2020-082 and Award
RC1-2018-KUCARS.

Keywords

@article{479cd14643d04a81ace98945d8a255b2,

title = "Pose-graph neural network classifier for global optimality prediction in 2D SLAM",

keywords = "Mechanical, aeronautical and manufacturing engineering",

author = "Rana Azzam and Kong, \{Felix H.\} and Tarek Taha and Yahya Zweiri",

note = "Note: This work was supported by the Khalifa University of Science and Technology under Award CIRA-2020-082 and Award RC1-2018-KUCARS.",

year = "2021",

doi = "10.1109/ACCESS.2021.3084599",

language = "English",

volume = "9",

pages = "80466--80477",

journal = "IEEE Access",

issn = "2169-3536",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Pose-graph neural network classifier for global optimality prediction in 2D SLAM

AU - Azzam, Rana

AU - Kong, Felix H.

AU - Taha, Tarek

AU - Zweiri, Yahya

N1 - Note: This work was supported by the Khalifa University of Science and Technology under Award CIRA-2020-082 and Award RC1-2018-KUCARS.

PY - 2021

Y1 - 2021

KW - Mechanical, aeronautical and manufacturing engineering

U2 - 10.1109/ACCESS.2021.3084599

DO - 10.1109/ACCESS.2021.3084599

M3 - Article

SN - 2169-3536

VL - 9

SP - 80466

EP - 80477

JO - IEEE Access

JF - IEEE Access

ER -