×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
山东大学 [40]
内容类型
会议论文 [20]
期刊论文 [20]
发表日期
2019 [5]
2018 [15]
2017 [3]
2016 [5]
2014 [4]
2012 [3]
更多...
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共40条,第1-10条
帮助
限定条件
专题:山东大学
第一署名单位
第一作者单位
通讯作者单位
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
作者升序
作者降序
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
Extraction Method of Summer Corn Vegetation Coverage Based on Visible Light Image of Unmanned Aerial Vehicle [基于无人机可见光图像的夏季玉米植被覆盖度提取方法]
期刊论文
Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2019, 卷号: 50, 期号: 5, 页码: 232-240
作者:
Zhao, Jing
;
Yang, Huanbo
;
Lan, Yubin
;
Lu, Liqun
;
Jia, Peng
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/11
Summer corn
Threshold extraction
Vegetation coverage
Vegetation index
Visible light images of UAV
Nonlinear Adaptive Backstepping with ESO for the Quadrotor Trajectory Tracking Control in the Multiple Disturbances
期刊论文
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2019, 卷号: 17, 期号: 11, 页码: 2754-2768
作者:
Liu, Jie
;
Gai, Wendong
;
Zhang, Jing
;
Li, Yuxia
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/12/11
Adaptive backstepping
extended state observer (ESO)
multiple
disturbances
quadrotor unmanned aerial vehicle (UAV)
trajectory
tracking controller
Coarse-to-Fine UAV Target Tracking With Deep Reinforcement Learning
期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2019, 卷号: 16, 期号: 4, 页码: 1522-1530
作者:
Zhang, Wei
;
Song, Ke
;
Rong, Xuewen
;
Li, Yibin
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/11
Target tracking
Unmanned aerial vehicles
Computer vision
Reinforcement learning
Computer vision
reinforcement learning (RL)
unmanned aerial vehicle (UAV)
visual tracking
Fast registration of UAV aerial images based on improved optical-flow model combined with feature-point matching
期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 卷号: 78, 期号: 7, 页码: 8875-8887
作者:
Lv, Changzhi
;
Wu, Yingshuai
;
Fan, Di
;
Lu, Xiushan
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/11
Image registration
UAV image
Optical-flow model
Feature-point
matching
Coarse-fine stage
A 3D Non-Stationary Wideband GBSM for Low-Altitude UAV-to-Ground V2V MIMO Channels
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 70719-70732
作者:
Chang, Hengtai
;
Bian, Ji
;
Wang, Cheng-Xiang
;
Bai, Zhiquan
;
Zhou, Wenqi
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2019/12/11
Unmanned aerial vehicles
UAV-to-ground V2V MIMO channel models
non-stationary channel models
GBSM
statistical properties
Coarse-to-Fine UAV Target Tracking With Deep Reinforcement Learning
期刊论文
IEEE Transactions on Automation Science and Engineering, 2018
作者:
Zhang W.
;
Song K.
;
Rong X.
;
Li Y.
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/11
Computer vision
reinforcement learning (RL)
unmanned aerial vehicle (UAV)
visual tracking.
The fusion of satellite and unmanned aerial vehicle (UAV) imagery for improving classification performance
期刊论文
2018 IEEE International Conference on Information and Automation, ICIA 2018, 2018, 页码: 836-841
作者:
Zou, Yujiao
;
Li, Guangming
;
Wang, Shuai
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/11
Classification
Image fusion
Satellite
Unmanned Aerial Vehicle (UAV)
Vegetation types
UAV Target Tracking with A Boundary-Decision Network
期刊论文
2018 24TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2018, 页码: 2576-2581
作者:
Song, Ke
;
Zhang, Wei
;
Rong, Xuewen
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/11
Trajectory tracking control for a quadrotor UAV via extended state observer
期刊论文
Systems Science and Control Engineering, 2018, 卷号: 6, 期号: 3, 页码: 126-135
作者:
Gai, Wendong
;
Liu, Jie
;
Qu, Chengzhi
;
Zhang, Jing
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/11
Multisensor Data-Fusion-Based Approach to Airspeed Measurement Fault Detection for Unmanned Aerial Vehicles
期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2018, 卷号: 67, 期号: 2, 页码: 317-327
作者:
Guo, Dingfei
;
Zhong, Maiying
;
Zhou, Donghua
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/11
Airspeed estimation
fault detection (FD)
kinematics model
pitot tube
unmanned aerial vehicle (UAV)
©版权所有 ©2017 CSpace - Powered by
CSpace