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自动化研究所 [7]
上海大学 [7]
西安交通大学 [5]
武汉大学 [5]
兰州理工大学 [4]
湖南大学 [4]
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期刊论文 [41]
会议论文 [13]
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Bi-TLLDA and CSSVM based fault diagnosis of vehicle on-board equipment for high speed railway
期刊论文
MEASUREMENT SCIENCE AND TECHNOLOGY, 2021, 卷号: 32, 期号: 8
作者:
Wei, Wei
;
Zhao, Xiao-qiang
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2021/10/14
fault diagnosis
vehicle on-board equipment
topic model
text classification
Dual Cross-Entropy Loss for Small-Sample Fine-Grained Vehicle Classification
期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 卷号: 68, 期号: 5, 页码: 4204-4212
作者:
Li, Xiaoxu
;
Yu, Liyun
;
Chang, Dongliang
;
Ma, Zhanyu
;
Cao, Jie
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/11/15
Cross-entropy loss
fine-grained vehicle classification
deep neural networks
Fine-Grained Vehicle Classification With Channel Max Pooling Modified CNNs
期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 卷号: 68, 期号: 4, 页码: 3224-3233
作者:
Ma, Zhanyu
;
Chang, Dongliang
;
Xie, Jiyang
;
Ding, Yifeng
;
Wen, Shaoguo
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/11/15
Fine-grained
vehicle classification
convolutional neural network
channel pooling
feature extraction
Fine-Grained Vehicle Classification with Channel Max Pooling Modified CNNs
期刊论文
IEEE Transactions on Vehicular Technology, 2019, 卷号: 68, 期号: 4, 页码: 3224-3233
作者:
Ma, Zhanyu
;
Chang, Dongliang
;
Xie, Jiyang
;
Ding, Yifeng
;
Wen, Shaoguo
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2020/11/14
Backpropagation algorithms
Convolution
Feature extraction
Motivation
Neural networks
Vehicles
channel pooling
Classification accuracy
Competitive performance
Convolutional neural network
Discriminative features
Fine grained
State-of-the-art methods
Vehicle classification
Driving Risk Classification Methodology for Intelligent Drive in Real Traffic Event
期刊论文
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2019, 卷号: 33, 期号: 9
作者:
Sun, Chuan
;
Li, Bijun
;
Li, Yicheng
;
Lu, Zhenji
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/05
Vehicle driving risk
driving data
classification methodology
intelligent drive
Spatial-Spectral Fusion Based on Conditional Random Fields for the Fine Classification of Crops in UAV-Borne Hyperspectral Remote Sensing Imagery
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 7
作者:
Wei, Lifei
;
Yu, Ming
;
Zhong, Yanfei
;
Zhao, Ji
;
Liang, Yajing
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2019/12/05
hyperspectral remote sensing imagery
conditional random fields
spectral-spatial fusion
fine crop classification
unmanned aerial vehicle
Driving Risk Classification Methodology for Intelligent Drive in Real Traffic Event
期刊论文
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2019, 卷号: 33, 期号: 9
作者:
Sun, Chuan
;
Li, Bijun
;
Li, Yicheng
;
Lu, Zhenji
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/05
Vehicle driving risk
driving data
classification methodology
intelligent drive
Deep learning and optimization algorithm for high efficient searching and detection of aircraft targets in remote sensing images [遥感图像飞机目标高效搜检深度学习优化算法]
期刊论文
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2019, 卷号: 45, 页码: 159-173
作者:
Guo, L.
;
Qin, S.
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2019/12/30
Aircraft
Classification (of information)
Deep learning
Deep neural networks
Efficiency
Image segmentation
Machine learning
Reinforcement learning
Remote sensing
Signal detection
Vehicle performance
Aircraft targets
Comparative analysis
Detection algorithm
Optimization algorithms
Probability of false alarm
Real-time properties
Remote sensing images
Synthetic integrations
Aircraft detection
Deep learning-based vehicle detection with synthetic image data
期刊论文
IET INTELLIGENT TRANSPORT SYSTEMS, 2019, 卷号: 13, 页码: 1097-1105
作者:
Wang, Ye
;
Deng, Weiwen
;
Liu, Zhenyi
;
Wang, Jinsong
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2019/12/30
learning (artificial intelligence)
image classification
traffic engineering computing
object detection
computer games
neural nets
deep learning-based vehicle detection
synthetic image data
convolutional neural network-based object detectors
annotated training data
synthetic images
synthetic image annotation
imaging factors
training vehicle detector
authors
Research on submarine buried oil and gas pipeline autonomous inspection system of USV
会议论文
Honolulu, HI, United states, June 16-21, 2019
作者:
Gao L(高雷)
;
Gu HT(谷海涛)
;
Feng L(冯亮)
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2020/03/08
Autonomous underwater vehicle
Imaging sonar
Sonar image processing
Target classification
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