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

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

3 Citations (Scopus)

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.

Original language	English
Title of host publication	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
Number of pages	7
ISBN (Electronic)	9780738112152
DOIs	https://doi.org/10.1109/CISCE52179.2021.9446038
Publication status	Published - 14 May 2021
Event	3rd IEEE International Conference on Communications, Information System and Computer Engineering, CISCE 2021 - Beijing, China Duration: 14 May 2021 → 16 May 2021

Publication series

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

Conference

Conference	3rd IEEE International Conference on Communications, Information System and Computer Engineering, CISCE 2021
Country/Territory	China
City	Beijing
Period	14/05/21 → 16/05/21

Keywords

autonomous vehicles
semantic segmentation
software joint simulation
speed bump recognition

Access to Document

10.1109/CISCE52179.2021.9446038

Cite this

Xu, J., Gao, L., Zhao, Y., & Xu, X. (2021). Speed Bump Recognition for Autonomous Vehicles Based on Semantic Segmentation. In 2021 IEEE 3rd International Conference on Communications, Information System and Computer Engineering, CISCE 2021 (pp. 387-393). Article 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 et al. / 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. pp. 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. in 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., pp. 387-393, 3rd IEEE International Conference on Communications, Information System and Computer Engineering, CISCE 2021, Beijing, China, 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 et al.
2021 IEEE 3rd International Conference on Communications, Information System and Computer Engineering, CISCE 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 387-393 9446038 (2021 IEEE 3rd International Conference on Communications, Information System and Computer Engineering, CISCE 2021).

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

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. In 2021 IEEE 3rd International Conference on Communications, Information System and Computer Engineering, CISCE 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 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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