An improved SLAM based on RK-VIF: Vision and inertial information fusion via Runge-Kutta method-Reference-Cited by-同舟云学术

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An improved SLAM based on RK-VIF: Vision and inertial information fusion via Runge-Kutta method

Published:2021-10 Issue: Volume: Page:
ISSN:2214-9147
Container-title:Defence Technology
language:en
Short-container-title:Defence Technology

Author:

Cui Jia-shan^ORCID,Zhang Fang-rui,Feng Dong-zhu,Li Cong,Li Fei,Tian Qi-chen

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Natural Science Foundation of Shanxi Province

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Metals and Alloys,Mechanical Engineering,Ceramics and Composites,Computational Mechanics

Reference27 articles.

1. Past, present, and future of simultaneous localization and mapping: toward the robust-perception age;Cadena;IEEE Trans. Robot.,2016

2. Visual SLAM and structure from motion in dynamic environments: a survey;Saputra;ACM Comput Surv,2018

3. Visual simultaneous localization and mapping: a survey;Fuentes-Pacheco;Artif Intell Rev,2015

4. Simultaneous localization and mapping in the epoch of semantics: a survey;Sualeh;Int J Control Autom Syst,2019

5. Keyframe-based monocular SLAM: design, survey, and future directions;Younes;Robot Autonom Syst,2017

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4. A Novel Visual Inertial Odometry Based on Interactive Multiple Model and Multistate Constrained Kalman Filter;IEEE Transactions on Instrumentation and Measurement;2024

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