A Robust Visual SLAM Method for Additive Manufacturing of Vehicular Parts Under Dynamic Scenes-Reference-Cited by-同舟云学术

A Robust Visual SLAM Method for Additive Manufacturing of Vehicular Parts Under Dynamic Scenes

Author:

Xu Wenbo¹^ORCID,Fan Weiwei¹,Li Jingyang²,Alfarraj Osama³^ORCID,Tolba Amr³^ORCID,Huang Tianhong⁴^ORCID

Affiliation:

1. School of Vehicle and Traffic Engineering, Henan Institute of Technology, Xinxiang, China

2. School of Mechanical Engineering, Henan Institute of Technology, Xinxiang, China

3. Computer Science Department, Community College, King Saud University, Riyadh, Saudi Arabia

4. School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR, USA

Funder

Researchers Supporting Project Number

Ministry of Education’s First Batch of Industry University Cooperation Collaborative Education Projects, in 2022

Henan Research Program of Science and Technology

Ministry of Education’s Second Batch of Industry University Cooperation Collaborative Education Projects, in 2021

Ministry of Education’s First Batch of Industry University Cooperation Collaborative Education Projects, in 2021

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference47 articles.

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