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科研机构
自动化研究所 [95]
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学位论文 [45]
期刊论文 [41]
会议论文 [9]
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2023 [5]
2022 [3]
2021 [6]
2020 [5]
2019 [3]
2018 [5]
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WeldNet: A deep learning based method for weld seam type identification and initial
期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2024, 卷号: 238, 页码: 15
作者:
Ma, Yunkai
;
Fan, Junfeng
;
Zhou, Zhen
;
Zhao, Sihan
;
Jing, Fengshui
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/12/21
Weld seam type identification
Initial point guidance
Deep learning
Robot welding
Vision sensors
Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 14
作者:
Guo, Yu
;
Liu, Ryan Wen
;
Qu, Jingxiang
;
Lu, Yuxu
;
Zhu, Fenghua
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2023/11/17
Inland waterways
vessel traffic surveillance
deep neural network
anti-occlusion tracking
data fusion
Robotic Automatic Drilling for Craniotomy: Algorithms and In Vitro Animal Experiments
期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 页码: 12
作者:
Bian, Gui-Bin
;
Wei, Bing-Ting
;
Li, Zhen
;
Ge, Peicong
;
Chen, Zhang
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/11/17
Drilling
Robots
Force
Robot sensing systems
Skull
Feeds
Service robots
Autonomous drilling
craniotomy robot
feed velocity and force constraint control
in vitro experiment
skull-dura boundary detection
A pixel-level deep segmentation network for automatic defect detection
期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 215, 页码: 11
作者:
Yang, Lei
;
Xu, Shuai
;
Fan, Junfeng
;
Li, En
;
Liu, Yanhong
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2023/02/22
Defect detection
Deep convolutional neural network
U-shape network
ConvLSTM network
Deep learning based online metallic surface defect detection method for wire and arc additive manufacturing
期刊论文
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2023, 卷号: 80, 页码: 12
作者:
Li, Wenhao
;
Zhang, Haiou
;
Wang, Guilan
;
Xiong, Gang
;
Zhao, Meihua
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2022/11/14
Wire and arc additive manufacturing
Defect detection
Online
Deep learning
MSFANet: A Light Weight Object Detector Based on Context Aggregation and Attention Mechanism for Autonomous Mining Truck
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 3, 页码: 2285-2295
作者:
Song, Ruiqi
;
Ai, Yunfeng
;
Tian, Bin
;
Chen, Long
;
Zhu, Fenghua
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2023/11/17
Feature extraction
Object detection
Autonomous vehicles
Task analysis
Detectors
Semantics
Real-time systems
feature fusion
object detection
surface mine
A nondestructive automatic defect detection method with pixelwise segmentation
期刊论文
KNOWLEDGE-BASED SYSTEMS, 2022, 卷号: 242, 页码: 12
作者:
Yang, Lei
;
Fan, Junfeng
;
Huo, Benyan
;
Li, En
;
Liu, Yanhong
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2022/06/10
Defect detection
Deep architecture
Image segmentation
Attention fusion
Residual dense connection convolution
network
Image Denoising of Seam Images With Deep Learning for Laser Vision Seam Tracking
期刊论文
IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 6, 页码: 6098-6107
作者:
Yang, Lei
;
Fan, Junfeng
;
Huo, Benyan
;
Li, En
;
Liu, Yanhong
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/06/10
Welding
Laser noise
Sensors
Robots
Laser modes
Feature extraction
Lasers
Deep network architecture
image denoising
seam tracking
robot welding
structured light vision
An Automatic Deep Segmentation Network for Pixel-Level Welding Defect Detection
期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 10
作者:
Yang, Lei
;
Song, Shouan
;
Fan, Junfeng
;
Huo, Benyan
;
Li, En
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/06/06
Welding
Feature extraction
Image segmentation
Inspection
X-ray imaging
Manufacturing
Task analysis
Attention model
convolutional long short-term memory (ConvLSTM)
defect detection
feature fusion
hybrid loss
image segmentation
Inspection of Welding Defect Based on Multi-feature Fusion and a Convolutional Network
期刊论文
JOURNAL OF NONDESTRUCTIVE EVALUATION, 2021, 卷号: 40, 期号: 4, 页码: 11
作者:
Yang, Lei
;
Fan, Junfeng
;
Huo, Benyan
;
Liu, Yanhong
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2021/12/28
Welding defect
X-ray detection
Transfer learning
Multi-feature fusion
Dempster-Shafer evidence theory
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