Visual-inertial odometry with depth sensing using a multi-state constraint Kalman filter

Visual-inertial odometry with depth sensing using a multi-state constraint Kalman filter

Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2014. === Cataloged from PDF version of thesis. === Includes bibliographical references (pages 93-97). === The goal of visual inertial odometry (VIO) is to estimate a moving vehicle's trajectory usi...

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Bibliographic Details
Main Author: Galfond, Marissa N. (Marissa Nicole)
Other Authors: Paul A. DeBitetto and Paulo C. Lozano.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2015
Subjects:
Aeronautics and Astronautics.
Online Access:http://hdl.handle.net/1721.1/97361

Internet

http://hdl.handle.net/1721.1/97361

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