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 [7]
计算技术研究所 [1]
长春光学精密机械与物... [1]
合肥物质科学研究院 [1]
国家授时中心 [1]
采集方式
OAI收割 [11]
内容类型
期刊论文 [10]
学位论文 [1]
发表日期
2024 [3]
2023 [1]
2022 [1]
2021 [2]
2019 [1]
2018 [3]
更多
学科主题
筛选
浏览/检索结果:
共11条,第1-10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
DGVINS: tightly coupled differential GNSS/visual/inertial for robust positioning based on optimization approach
期刊论文
OAI收割
MEASUREMENT SCIENCE AND TECHNOLOGY, 2024, 卷号: 35, 期号: 8, 页码: 12
作者:
Li, Xiaowan
;
Cheng, Fang
;
Li, Yuanqi
;
Shen, Pengli
;
Hu, Yuhang
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2025/04/03
sensor fusion
factor graph optimization
GNSS
visual-inertial odometry
single-epoch ambiguity
Implementation and observability analysis of visual-inertial-wheel odometry with robust initialization and online extrinsic calibration
期刊论文
OAI收割
ROBOTICS AND AUTONOMOUS SYSTEMS, 2024, 卷号: 176, 页码: 14
作者:
Liu, Jinxu
;
Gao, Wei
;
Xie, Chuyun
;
Hu, Zhanyi
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2024/07/03
Visual-inertial odometry
Wheel encoder
IMU-odometer pre-integration
Robust initialization
Online extrinsic calibration
Observability analysis
Environmental-structure-perception-based adaptive pose fusion method for LiDAR-visual-inertial odometry
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2024, 卷号: 21, 期号: 3, 页码: 20
作者:
Zhao, Zixu
;
Liu, Chang
;
Yu, Wenyao
;
Shi, Jinglin
;
Zhang, Dalin
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2024/12/06
Adaptive pose fusion
LiDAR-visual-inertial odometry
environmental structure perception
pose estimation of unmanned vehicle
sensor fusion
Covariance Estimation for Pose Graph Optimization in Visual-Inertial Navigation Systems
期刊论文
OAI收割
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 6, 页码: 3657-3667
作者:
Shi, Pengcheng
;
Zhu, Zhikai
;
Sun, Shiying
;
Rong, Zheng
;
Zhao, Xiaoguang
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2023/11/17
Covariance estimation
loop closing
pose graph optimization
visual-inertial odometry
基于视觉惯性里程计的四旋翼飞行器定位及运动规划
学位论文
OAI收割
2022
作者:
徐文博
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/09/05
Quadrotors, Visual-Inertial Odometry, Motion Planning
A Fast Vision-inertial Odometer Based on Line Midpoint Descriptor
期刊论文
OAI收割
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 667-669
作者:
Wen-Kuan Li
  |  
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2021/07/20
High efficiency
visual-inertial odometry (VIO)
non-linear optimization
points and lines
sliding window
An RGB-D Camera Based Visual Positioning System for Assistive Navigation by a Robotic Navigation Aid
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 8, 页码: 1389-1400
作者:
He Zhang
;
Lingqiu Jin
;
Cang Ye
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2021/06/11
Assistive navigation
pose estimation
robotic navigation aid (RNA)
simultaneous localization and mapping
visual-inertial odometry
visual positioning system (VPS)
Compass aided visual-inertial odometry
期刊论文
OAI收割
Journal of Visual Communication and Image Representation, 2019, 卷号: 60, 页码: 101-115
作者:
Y.D.Wang
;
T.Zhang
;
Y.C.Wang
;
J.W.Ma
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2020/08/24
Visual-inertial odometry (VIO),Compass,Sliding window estimator,Inconsistency,Pre-integration,Minimum cost function,image,features,model,slam,Computer Science
VINS-MKF: A Tightly-Coupled Multi-Keyframe Visual-Inertial Odometry for Accurate and Robust State Estimation
期刊论文
OAI收割
SENSORS, 2018, 卷号: 18, 期号: 11, 页码: 28
作者:
Zhang, Chaofan
;
Liu, Yong
;
Wang, Fan
;
Xia, Yingwei
;
Zhang, Wen
  |  
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2019/12/25
state estimation
visual odometry
visual inertial fusion
multiple fisheye cameras
tightly coupled
PL-VIO: Tightly-Coupled Monocular Visual-Inertial Odometry Using Point and Line Features
期刊论文
OAI收割
SENSORS, 2018, 卷号: 18, 期号: 4, 页码: 25
作者:
He, Yijia
;
Zhao, Ji
;
Guo, Yue
;
He, Wenhao
;
Yuan, Kui
  |  
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2018/10/10
sensor fusion
visual-inertial odometry
tightly-coupled
point and line features