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^*

^*此作品的通讯作者

机械与车辆学院

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

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	Proceedings of 2022 2nd International Conference on Control and Intelligent Robotics, ICCIR 2022
出版商	Association for Computing Machinery
页	340-343
页数	4
ISBN（电子版）	9781450397179
DOI	https://doi.org/10.1145/3548608.3559219
出版状态	已出版 - 24 6月 2022
活动	2nd International Conference on Control and Intelligent Robotics, ICCIR 2022 - Virtual, Online, 中国期限: 24 6月 2022 → 26 6月 2022

出版系列

姓名	ACM International Conference Proceeding Series

会议

会议	2nd International Conference on Control and Intelligent Robotics, ICCIR 2022
国家/地区	中国
市	Virtual, Online
时期	24/06/22 → 26/06/22

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 3 良好健康与福祉

访问文件

10.1145/3548608.3559219

其它文件与链接

链接到 Scopus 的出版物

引用此

@inproceedings{e8783ace4569428a92473492d22fd3fe,

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. 在 Proceedings of 2022 2nd International Conference on Control and Intelligent Robotics, ICCIR 2022. ACM International Conference Proceeding Series, Association for Computing Machinery, 页码 340-343, 2nd International Conference on Control and Intelligent Robotics, ICCIR 2022, Virtual, Online, 中国, 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 等.
Proceedings of 2022 2nd International Conference on Control and Intelligent Robotics, ICCIR 2022. Association for Computing Machinery, 2022. 页码 340-343 (ACM International Conference Proceeding Series).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Summary of Trajectory Prediction Method for Unmanned Ground Vehicle

AU - Du, Xu

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

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

指纹

引用此