The Segmentation Method of Road Surface Covering Objects Based on CBAM UNET++-Reference-Cited by-同舟云学术

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The Segmentation Method of Road Surface Covering Objects Based on CBAM UNET++

Published:2025-04 Issue:2 Volume:9 Page:1924-1933
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Sen Yang¹^ORCID,Zhenmin Wang¹^ORCID,Wenlong Song²^ORCID,Changqun Yang³

Affiliation:

1. School of Computer and Control Engineering, Northeast Forestry University, Harbin, Heilongjiang, China

2. Northeast Forestry University, Harbin, Heilongjiang, China

3. South China Branch of National Petroleum and Natural Gas Group Company, Ltd., China

Funder

Heilongjiang Postdoctoral Foundation

Natural Science Foundation of Heilongjiang Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7433297/10939044/10721236.pdf?arnumber=10721236

Reference32 articles.

1. Theory and methodology on safety braking of autonomous vehicles based on the friction characteristic of road surface

2. Environmental problems related to winter traffic safety conditions;Hl;Baltic J. Road Bridge Eng.,2006

3. Recent computer vision applications for pavement distress and condition assessment

4. Real-time division of three-dimensional laser radar pavement based on Marcow’s rock airport;Zhu;J. Zhejiang Univ. J. (Eng. Version),2015

5. Snow state detection based on naive bayesian classification;Sun;J. Jilin Univ. (Eng. Sci. Ed.),2013

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