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A review of visual inertial odometry from filtering and optimisation perspectives

Gui, J and Gu, D and Wang, S and Hu, H (2015) 'A review of visual inertial odometry from filtering and optimisation perspectives.' Advanced Robotics, 29 (20). 1289 - 1301. ISSN 0169-1864

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Abstract

© 2015 Taylor and Francis and The Robotics Society of Japan. Visual inertial odometry (VIO) is a technique to estimate the change of a mobile platform in position and orientation overtime using the measurements from on-board cameras and IMU sensor. Recently, VIO attracts significant attentions from large number of researchers and is gaining the popularity in various potential applications due to the miniaturisation in size and low cost in price of two sensing modularities. However, it is very challenging in both of technical development and engineering implementation when accuracy, real-time performance, robustness and operation scale are taken into consideration. This survey is to report the state of the art VIO techniques from the perspectives of filtering and optimisation-based approaches, which are two dominated approaches adopted in the research area. To do so, various representations of 3D rigid motion body are illustrated. Then filtering-based approaches are reviewed, and followed by optimisation-based approaches. The links between these two approaches will be clarified via a framework of the Bayesian Maximum A Posterior. Other features, such as observability and self calibration, will be discussed.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 05 Nov 2015 15:59
Last Modified: 11 Jun 2018 23:25
URI: http://repository.essex.ac.uk/id/eprint/15410

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