Summary of Trajectory Prediction Method for Unmanned Ground Vehicle

Xu Du; Aoran Li; Xueyuan Li; Qi Liu

doi:10.1145/3548608.3559219

Summary of Trajectory Prediction Method for Unmanned Ground Vehicle

Xu Du
, Aoran Li
, Xueyuan Li^*
, Qi Liu^*

^*Corresponding author for this work

School of Mechanical Engineering

Beijing Institute of Technology
Inner Mongolia First Machinery Group Co. Ltd.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Unmanned Ground Vehicle (UGV) is currently the key research direction in the world. As an interdisciplinary complex, it covers machinery, computers, automation, ergonomics and other aspects. The application of UGV will liberate people from driving, reducing traffic accidents, and saving people's time and cost. As an important part of the UGV software system, trajectory prediction is very important to improve the security of UGV. This article classifies and summarizes various current prediction algorithms, puts forward the current problems of various algorithms, and looks forward to the future development direction.

Original language	English
Title of host publication	Proceedings of 2022 2nd International Conference on Control and Intelligent Robotics, ICCIR 2022
Publisher	Association for Computing Machinery
Pages	340-343
Number of pages	4
ISBN (Electronic)	9781450397179
DOIs	https://doi.org/10.1145/3548608.3559219
Publication status	Published - 24 Jun 2022
Event	2nd International Conference on Control and Intelligent Robotics, ICCIR 2022 - Virtual, Online, China Duration: 24 Jun 2022 → 26 Jun 2022

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	2nd International Conference on Control and Intelligent Robotics, ICCIR 2022
Country/Territory	China
City	Virtual, Online
Period	24/06/22 → 26/06/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

UGV
trajectory prediction

Access to Document

10.1145/3548608.3559219

Cite this

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title = "Summary of Trajectory Prediction Method for Unmanned Ground Vehicle",

abstract = "Unmanned Ground Vehicle (UGV) is currently the key research direction in the world. As an interdisciplinary complex, it covers machinery, computers, automation, ergonomics and other aspects. The application of UGV will liberate people from driving, reducing traffic accidents, and saving people's time and cost. As an important part of the UGV software system, trajectory prediction is very important to improve the security of UGV. This article classifies and summarizes various current prediction algorithms, puts forward the current problems of various algorithms, and looks forward to the future development direction.",

keywords = "UGV, trajectory prediction",

author = "Xu Du and Aoran Li and Xueyuan Li and Qi Liu",

note = "Publisher Copyright: {\textcopyright} 2022 ACM.; 2nd International Conference on Control and Intelligent Robotics, ICCIR 2022 ; Conference date: 24-06-2022 Through 26-06-2022",

year = "2022",

month = jun,

day = "24",

doi = "10.1145/3548608.3559219",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

pages = "340--343",

booktitle = "Proceedings of 2022 2nd International Conference on Control and Intelligent Robotics, ICCIR 2022",

}

Du, X, Li, A, Li, X & Liu, Q 2022, Summary of Trajectory Prediction Method for Unmanned Ground Vehicle. in Proceedings of 2022 2nd International Conference on Control and Intelligent Robotics, ICCIR 2022. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 340-343, 2nd International Conference on Control and Intelligent Robotics, ICCIR 2022, Virtual, Online, China, 24/06/22. https://doi.org/10.1145/3548608.3559219

Summary of Trajectory Prediction Method for Unmanned Ground Vehicle. / Du, Xu; Li, Aoran; Li, Xueyuan et al.
Proceedings of 2022 2nd International Conference on Control and Intelligent Robotics, ICCIR 2022. Association for Computing Machinery, 2022. p. 340-343 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Li, Aoran

AU - Li, Xueyuan

AU - Liu, Qi

PY - 2022/6/24

Y1 - 2022/6/24

N2 - Unmanned Ground Vehicle (UGV) is currently the key research direction in the world. As an interdisciplinary complex, it covers machinery, computers, automation, ergonomics and other aspects. The application of UGV will liberate people from driving, reducing traffic accidents, and saving people's time and cost. As an important part of the UGV software system, trajectory prediction is very important to improve the security of UGV. This article classifies and summarizes various current prediction algorithms, puts forward the current problems of various algorithms, and looks forward to the future development direction.

AB - Unmanned Ground Vehicle (UGV) is currently the key research direction in the world. As an interdisciplinary complex, it covers machinery, computers, automation, ergonomics and other aspects. The application of UGV will liberate people from driving, reducing traffic accidents, and saving people's time and cost. As an important part of the UGV software system, trajectory prediction is very important to improve the security of UGV. This article classifies and summarizes various current prediction algorithms, puts forward the current problems of various algorithms, and looks forward to the future development direction.

KW - UGV

KW - trajectory prediction

UR - https://www.scopus.com/pages/publications/85140584818

U2 - 10.1145/3548608.3559219

DO - 10.1145/3548608.3559219

M3 - Conference contribution

AN - SCOPUS:85140584818

T3 - ACM International Conference Proceeding Series

SP - 340

EP - 343

BT - Proceedings of 2022 2nd International Conference on Control and Intelligent Robotics, ICCIR 2022

PB - Association for Computing Machinery

T2 - 2nd International Conference on Control and Intelligent Robotics, ICCIR 2022

Y2 - 24 June 2022 through 26 June 2022

ER -

Summary of Trajectory Prediction Method for Unmanned Ground Vehicle

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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