Dissertation/Thesis Abstract

Sensor Fusion to Detect Scale and Direction of Gravity in Monocular Slam Systems
by Tucker, Seth C., M.S.E.C.E., Purdue University, 2017, 71; 10639891
Abstract (Summary)

Monocular simultaneous localization and mapping (SLAM) is an important technique that enables very inexpensive environment mapping and pose estimation in small systems such as smart phones and unmanned aerial vehicles. However, the information generated by monocular SLAM is in an arbitrary and unobservable scale, leading to drift and making it difficult to use with other sources of odometry for control or navigation. To correct this, the odometry needs to be aligned with metric scale odometry from another device, or else scale must be recovered from known features in the environment. Typically known environmental features are not available, and for systems such as cellphones or unmanned aerial vehicles (UAV), which may experience sustained, small scale, irregular motion, an IMU is often the only practical option. Because accelerometers measure acceleration and gravity, an inertial measurement unit (IMU) must filter out gravity and track orientation with complex algorithms in order to provide a linear acceleration measurement that can be used to recover SLAM scale. In this thesis, an alternative method will be proposed, which detects and removes gravity from the accelerometer measurement by using the unscaled direction of acceleration derived from the SLAM odometry.

Indexing (document details)
Advisor: El-Sharkawy, Mohamed A.
Commitee: King, Brian, Salama, Paul
School: Purdue University
Department: Electrical and Computer Engineering
School Location: United States -- Indiana
Source: MAI 57/04M(E), Masters Abstracts International
Subjects: Electrical engineering, Robotics
Keywords: Accelerometer, Gravity, Monocular, SLAM, Scale, VIMU
Publication Number: 10639891
ISBN: 978-0-355-61951-5
Copyright © 2020 ProQuest LLC. All rights reserved. Terms and Conditions Privacy Policy Cookie Policy