版权说明 操作指南
首页 > 成果 > 详情

A Visual-Inertial Information Fusion Method for SLAM Front-End Odometry

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文、会议论文
作者:
Xinguo Yu(余新国);Tai Li;Zhizhong Zeng
通讯作者:
Li, T.
作者机构:
[Zeng Z.; Yu X.; Li T.] National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, 430079, China
通讯机构:
[Li, T.] N
National Engineering Research Center for E-Learning, China
语种:
英文
关键词:
SLAM;Visual-inertial odometry
期刊:
Communications in Computer and Information Science
ISSN:
1865-0929
年:
2019
卷:
1043
页码:
184-192
会议名称:
14th Conference on Image and Graphics Technologies and Applications, IGTA 2019
会议论文集名称:
Image and Graphics Technologies and Applications
会议时间:
19 April 2019 through 20 April 2019
主编:
Wang Y.Huang Q.Peng Y.
出版者:
Springer Verlag
ISBN:
9789811399169
基金类别:
Acknowledgement. This work is supported by National Natural Science Foundation of China (Grant No. 61877026).
机构署名:
本校为第一且通讯机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
In a pure visual odometry, a pose transformation matrix between adjacent two frames is estimated by an algorithm based on pixel variation between images. However, pure monocular visual odometers cannot obtain absolute scales; in addition, relying solely on recursive calculations will inevitably lead to cumulative errors. For pure inertial solution calculations, the low-precision IMU will diverge very quickly in a short time. We derive the IMU prediction form based on Lie group and Lie algebra, and apply it to VIO. Based on the idea of graph opt...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com