A Review of Visual-Inertial Simultaneous Localization and Mapping from Filtering-Based and Optimization-Based Perspectives

A Review of Visual-Inertial Simultaneous Localization and Mapping from Filtering-Based and Optimization-Based Perspectives

Visual-inertial simultaneous localization and mapping (VI-SLAM) is popular research topic in robotics. Because of its advantages in terms of robustness, VI-SLAM enjoys wide applications in the field of localization and mapping, including in mobile robotics, self-driving cars, unmanned aerial vehicle...

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Bibliographic Details
Main Authors: Chang Chen, Hua Zhu, Menggang Li, Shaoze You
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Robotics
Subjects:
sensor fusion
robotics
SLAM
navigation
computer vision
localization
Online Access:http://www.mdpi.com/2218-6581/7/3/45

Internet

http://www.mdpi.com/2218-6581/7/3/45

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