Speed Bump Recognition for Autonomous Vehicles Based on Semantic Segmentation

Jingyi Xu; Li Gao; Yanan Zhao; Xin Xu

doi:10.1109/CISCE52179.2021.9446038

Speed Bump Recognition for Autonomous Vehicles Based on Semantic Segmentation

Jingyi Xu, Li Gao, Yanan Zhao, Xin Xu

Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

3 引用（Scopus）

摘要

In this paper, we combine 3Dmax and PreScan to make data sets and use the recognition algorithm to get the region of interest (ROI) of the speed bumps area. Then, we realize the speed bump recognition for autonomous vehicles. Besides, we do the post-processing operations on the area corresponding to the disparity map. Finally, we provide an innovative method to improve the accuracy of the distance measurement of the speed bumps. The results show that the method in this paper can accurately recognize the speed bumps and measure the distance under the requirements of the automotive embedded system.

源语言	英语
主期刊名	2021 IEEE 3rd International Conference on Communications, Information System and Computer Engineering, CISCE 2021
出版商	Institute of Electrical and Electronics Engineers Inc.
页	387-393
页数	7
ISBN（电子版）	9780738112152
DOI	https://doi.org/10.1109/CISCE52179.2021.9446038
出版状态	已出版 - 14 5月 2021
活动	3rd IEEE International Conference on Communications, Information System and Computer Engineering, CISCE 2021 - Beijing, 中国期限: 14 5月 2021 → 16 5月 2021

出版系列

姓名	2021 IEEE 3rd International Conference on Communications, Information System and Computer Engineering, CISCE 2021

会议

会议	3rd IEEE International Conference on Communications, Information System and Computer Engineering, CISCE 2021
国家/地区	中国
市	Beijing
时期	14/05/21 → 16/05/21

访问文件

10.1109/CISCE52179.2021.9446038

其它文件与链接

链接到 Scopus 的出版物

引用此

Xu, J., Gao, L., Zhao, Y., & Xu, X. (2021). Speed Bump Recognition for Autonomous Vehicles Based on Semantic Segmentation. 在 2021 IEEE 3rd International Conference on Communications, Information System and Computer Engineering, CISCE 2021 (页码 387-393). 文章 9446038 (2021 IEEE 3rd International Conference on Communications, Information System and Computer Engineering, CISCE 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CISCE52179.2021.9446038

Xu, Jingyi ; Gao, Li ; Zhao, Yanan 等. / Speed Bump Recognition for Autonomous Vehicles Based on Semantic Segmentation. 2021 IEEE 3rd International Conference on Communications, Information System and Computer Engineering, CISCE 2021. Institute of Electrical and Electronics Engineers Inc., 2021. 页码 387-393 (2021 IEEE 3rd International Conference on Communications, Information System and Computer Engineering, CISCE 2021).

@inproceedings{ae286ea6e528453cb8adff3854b89843,

title = "Speed Bump Recognition for Autonomous Vehicles Based on Semantic Segmentation",

abstract = "In this paper, we combine 3Dmax and PreScan to make data sets and use the recognition algorithm to get the region of interest (ROI) of the speed bumps area. Then, we realize the speed bump recognition for autonomous vehicles. Besides, we do the post-processing operations on the area corresponding to the disparity map. Finally, we provide an innovative method to improve the accuracy of the distance measurement of the speed bumps. The results show that the method in this paper can accurately recognize the speed bumps and measure the distance under the requirements of the automotive embedded system.",

keywords = "autonomous vehicles, semantic segmentation, software joint simulation, speed bump recognition",

author = "Jingyi Xu and Li Gao and Yanan Zhao and Xin Xu",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 3rd IEEE International Conference on Communications, Information System and Computer Engineering, CISCE 2021 ; Conference date: 14-05-2021 Through 16-05-2021",

year = "2021",

month = may,

day = "14",

doi = "10.1109/CISCE52179.2021.9446038",

language = "English",

series = "2021 IEEE 3rd International Conference on Communications, Information System and Computer Engineering, CISCE 2021",

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

pages = "387--393",

booktitle = "2021 IEEE 3rd International Conference on Communications, Information System and Computer Engineering, CISCE 2021",

address = "United States",

}

Xu, J, Gao, L, Zhao, Y & Xu, X 2021, Speed Bump Recognition for Autonomous Vehicles Based on Semantic Segmentation. 在 2021 IEEE 3rd International Conference on Communications, Information System and Computer Engineering, CISCE 2021., 9446038, 2021 IEEE 3rd International Conference on Communications, Information System and Computer Engineering, CISCE 2021, Institute of Electrical and Electronics Engineers Inc., 页码 387-393, 3rd IEEE International Conference on Communications, Information System and Computer Engineering, CISCE 2021, Beijing, 中国, 14/05/21. https://doi.org/10.1109/CISCE52179.2021.9446038

Speed Bump Recognition for Autonomous Vehicles Based on Semantic Segmentation. / Xu, Jingyi; Gao, Li; Zhao, Yanan 等.
2021 IEEE 3rd International Conference on Communications, Information System and Computer Engineering, CISCE 2021. Institute of Electrical and Electronics Engineers Inc., 2021. 页码 387-393 9446038 (2021 IEEE 3rd International Conference on Communications, Information System and Computer Engineering, CISCE 2021).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Speed Bump Recognition for Autonomous Vehicles Based on Semantic Segmentation

AU - Xu, Jingyi

AU - Gao, Li

AU - Zhao, Yanan

AU - Xu, Xin

PY - 2021/5/14

Y1 - 2021/5/14

N2 - In this paper, we combine 3Dmax and PreScan to make data sets and use the recognition algorithm to get the region of interest (ROI) of the speed bumps area. Then, we realize the speed bump recognition for autonomous vehicles. Besides, we do the post-processing operations on the area corresponding to the disparity map. Finally, we provide an innovative method to improve the accuracy of the distance measurement of the speed bumps. The results show that the method in this paper can accurately recognize the speed bumps and measure the distance under the requirements of the automotive embedded system.

AB - In this paper, we combine 3Dmax and PreScan to make data sets and use the recognition algorithm to get the region of interest (ROI) of the speed bumps area. Then, we realize the speed bump recognition for autonomous vehicles. Besides, we do the post-processing operations on the area corresponding to the disparity map. Finally, we provide an innovative method to improve the accuracy of the distance measurement of the speed bumps. The results show that the method in this paper can accurately recognize the speed bumps and measure the distance under the requirements of the automotive embedded system.

KW - autonomous vehicles

KW - semantic segmentation

KW - software joint simulation

KW - speed bump recognition

UR - http://www.scopus.com/inward/record.url?scp=85111416739&partnerID=8YFLogxK

U2 - 10.1109/CISCE52179.2021.9446038

DO - 10.1109/CISCE52179.2021.9446038

M3 - Conference contribution

AN - SCOPUS:85111416739

T3 - 2021 IEEE 3rd International Conference on Communications, Information System and Computer Engineering, CISCE 2021

SP - 387

EP - 393

BT - 2021 IEEE 3rd International Conference on Communications, Information System and Computer Engineering, CISCE 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd IEEE International Conference on Communications, Information System and Computer Engineering, CISCE 2021

Y2 - 14 May 2021 through 16 May 2021

ER -

Xu J, Gao L, Zhao Y , Xu X. Speed Bump Recognition for Autonomous Vehicles Based on Semantic Segmentation. 在 2021 IEEE 3rd International Conference on Communications, Information System and Computer Engineering, CISCE 2021. Institute of Electrical and Electronics Engineers Inc. 2021. 页码 387-393. 9446038. (2021 IEEE 3rd International Conference on Communications, Information System and Computer Engineering, CISCE 2021). doi: 10.1109/CISCE52179.2021.9446038

Speed Bump Recognition for Autonomous Vehicles Based on Semantic Segmentation

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