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doi.org/10.1016/j.measurement.2022.111959
Rail wheel tread defect detection using improved YOLOv3
Zongyi Xing
7
,
Zhenyu Zhang
21
,
...,
Limin Jia
30
View all 5 authors
Measurement
5.60
Volume: 203, Pages: 111959 - 111959
Published
: Sep 20, 2022
46
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Paper Fields
Automotive engineering
Key (lock)
Road surface
Collision
Civil engineering
Engineering
Tread
Natural rubber
Artificial intelligence
Composite material
Collision detection
Materials science
Computer science
Computer vision
Computer security
Simulation
Mechanical engineering
Track (disk drive)
Paper Details
Title
Rail wheel tread defect detection using improved YOLOv3
DOI
doi.org/10.1016/j.measurement.2022.111959
Published Date
Sep 20, 2022
Journal
Measurement
Volume
203
Pages
111959 - 111959
Notes
History
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