中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
自动化研究所 [2]
长春光学精密机械与物... [1]
深海科学与工程研究所 [1]
沈阳自动化研究所 [1]
采集方式
OAI收割 [5]
内容类型
期刊论文 [3]
会议论文 [2]
发表日期
2023 [1]
2020 [1]
2019 [1]
2015 [1]
2010 [1]
学科主题
筛选
浏览/检索结果:
共5条,第1-5条
帮助
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
题名升序
题名降序
提交时间升序
提交时间降序
作者升序
作者降序
发表日期升序
发表日期降序
Path Planning of Deep-Sea Landing Vehicle Based on the Safety Energy-Dynamic Window Approach Algorithm
期刊论文
OAI收割
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 卷号: 11, 期号: 10, 页码: 19
作者:
Pan, Zuodong
;
Guo, Wei
;
Sun, Hongming
;
Zhou, Yue
;
Lan, Yanjun
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2023/12/12
deep-sea landing vehicle
the Safety Energy-Dynamic Window Approach algorithm
safe
low energy consumption
autonomous sampling operations
Parallel End-to-End Autonomous Mining: An IoT-Oriented Approach
期刊论文
OAI收割
IEEE INTERNET OF THINGS JOURNAL, 2020, 卷号: 7, 期号: 2, 页码: 1011-1023
作者:
Gao, Yu
;
Ai, Yunfeng
;
Tian, Bin
;
Chen, Long
;
Wang, Jian
  |  
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2020/06/02
Data mining
Transportation
Internet of Things
Mining equipment
Safety
Decision making
Artificial societies (A) for modeling
computational experiments (C) for analysis
and parallel execution (P) for control (ACP) approach
autonomous truck
decision making
Internet of Things (IoT)
management and control
parallel mines
Mobile Robot Exploration Based on Rapidly-exploring Random Trees and Dynamic Window Approach
会议论文
OAI收割
Beijing, China, April 19-22, 2019
作者:
Zeng TP(曾太平)
;
Si BL(斯白露)
  |  
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2019/09/28
mobile robots
autonomous exploration
pointclouds
motion planning
rapidly-exploring random tree
dynamicwindow approach
Path Generation of Autonomous Approach to a Moving Ship for Unmanned Vehicles
期刊论文
OAI收割
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2015, 卷号: 62, 期号: 9, 页码: 5619-5629
作者:
Wang, Yu
;
Wang, Shuo
;
Tan, Min
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2015/09/23
Autonomous approach
path generation
trajectory smoothing
unmanned vehicles
An intelligent video surveillance system (EI CONFERENCE)
会议论文
OAI收割
2010 International Conference on E-Product E-Service and E-Entertainment, ICEEE2010, November 7, 2010 - November 9, 2010, Henan, China
Gao S.
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2013/03/25
This paper presents an intelligent video surveillance system. The system is composed of one or more nodes flexibly according to the application scenarios such as private properties
banks and museums. Each node is an autonomous vision-based device capable to perform intelligent tasks. It is able to digitize and compress the acquired analog video signals in MPEG-4 standard and then transmit the compressed video stream to the control center. At the same time
the node makes use of a statistical approach for real-time detecting moving object and online alarm generation to enable a single human operator to monitor activities over a complex area using a distributed network of active video sensors. The node is implemented on a platform with high performance to ensure that the algorithm is able to run in real-time. Applications demonstrate that the intelligent system has an excellent performance in many scenarios to help people make decisions more accurately and rapidly. 2010 IEEE.