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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [4]
长春光学精密机械与物... [1]
沈阳自动化研究所 [1]
植物研究所 [1]
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OAI收割 [7]
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期刊论文 [5]
会议论文 [2]
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2023 [2]
2021 [2]
2019 [1]
2018 [1]
2006 [1]
学科主题
Engineerin... [1]
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Refined Crack Detection via LECSFormer for Autonomous Road Inspection Vehicles
期刊论文
OAI收割
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 3, 页码: 2049-2061
作者:
Chen, Junzhou
;
Zhao, Nan
;
Zhang, Ronghui
;
Chen, Long
;
Huang, Kai
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2023/11/17
Roads
Transformers
Feature extraction
Diseases
Inspection
Shape
Intelligent vehicles
Refined crack detection
window-based trans-former
semantic segmentation
autonomous road inspection vehicles
How Generative Adversarial Networks Promote the Development of Intelligent Transportation Systems: A Survey
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1781-1796
作者:
Hongyi Lin
;
Yang Liu
;
Shen Li
;
Xiaobo Qu
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2023/08/10
Autonomous driving
generative adversarial network (GAN)
intelligent transportation system (ITS)
traffic anomaly inspection
traffic flow
An External Calibration Method for the Circular Scanning Device Used for Bend Tube Intelligent Inspection
会议论文
OAI收割
Changzhou, China, September 24-26,. 2021
作者:
Zou HB(邹杭波)
;
Xia RB(夏仁波)
;
Zhao JB(赵吉宾)
;
Zhang TY(张天宇)
;
Chen YL(陈月玲)
  |  
收藏
  |  
浏览/下载:73/0
  |  
提交时间:2021/12/13
component
intelligent inspection
3D scanning
external calibration
multiple laser profiles
data fusion
UAV-lidar aids automatic intelligent powerline inspection
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2021, 卷号: 130
作者:
Guan, Hongcan
;
Sun, Xiliang
;
Su, Yanjun
;
Hu, Tianyu
;
Wang, Haitao
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2023/02/24
Powerline inspection
Intelligent
Unmanned aerial vehicle
Deep learning
Lidar
A monocular-based navigation approach for unmanned aerial vehicle safe and autonomous transmission-line inspection
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2019, 卷号: 16, 期号: 1, 页码: 16
作者:
Hui, Xiaolong
;
Bian, Jiang
;
Zhao, Xiaoguang
;
Tan, Min
  |  
收藏
  |  
浏览/下载:82/0
  |  
提交时间:2019/07/12
UAV
safety navigation approach
intelligent transmission-line inspection
monocular vision
Vision-based autonomous navigation approach for unmanned aerial vehicle transmission-line inspection
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2018, 卷号: 15, 期号: 1, 页码: 1-15
作者:
Hui, Xiaolong
;
Bian, Jiang
;
Zhao, Xiaoguang
;
Tan, Min
  |  
收藏
  |  
浏览/下载:43/0
  |  
提交时间:2018/05/06
Unmanned Aerial Vehicle
Intelligent Inspection
Three-dimensional (3-d) Perception
Visual Navigation
Study on color difference estimation method of medicine biochemical analysis (EI CONFERENCE)
会议论文
OAI收割
ICO20: Illumination, Radiation, and Color Technologies, August 21, 2005 - August 26, 2005, Changchun, China
作者:
Zhou Y.
;
Zhou F.
;
Wang C.
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2013/03/25
The biochemical analysis in medicine is an important inspection and diagnosis method in hospital clinic. The biochemical analysis of urine is one important item. The Urine test paper shows corresponding color with different detection project or different illness degree. The color difference between the standard threshold and the test paper color of urine can be used to judge the illness degree
therefore
it can be used in hospital
so that further analysis and diagnosis to urine is gotten. The color is a three-dimensional physical variable concerning psychology
the estimation method of color difference in urine test can have better precision and facility than the conventional test method with one-dimensional reflectance
calibrating organization and family
while reflectance is one-dimensional variable
it can make an accurate diagnose. The digital camera is easy to take an image of urine test paper and is used to carry out the urine biochemical analysis conveniently. On the experiment
so its application prospect is extensive.
the color image of urine test paper is taken by popular color digital camera and saved in the computer which installs a simple color space conversion (RGB &rarr XYZ &rarr L*a*b*) and the calculation software. Test sample is graded according to intelligent detection of quantitative color. The images taken every time were saved in computer
and the whole illness process will be monitored. This method can also use in other medicine biochemical analyses that have relation with color. Experiment result shows that this test method is quick and accurate