Topic
Inertial reference unit
About: Inertial reference unit is a research topic. Over the lifetime, 1306 publications have been published within this topic receiving 22068 citations. The topic is also known as: IRU.
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27 May 2014
TL;DR: In this thesis, the problem of estimating position and orientation (6D pose) using inertial sensors (accelerometers and gyroscopes) using Accelerometers and Gyroscopes is considered.
Abstract: In this thesis, we consider the problem of estimating position and orientation (6D pose) using inertial sensors (accelerometers and gyroscopes). Inertial sensors provide information about the chang ...
20 citations
Patent•
06 Apr 2016TL;DR: In this paper, an inertial sensor, a depth sensor, and a processor are coupled to an object and configured to measure a first unit of inertia of the object, which is then used to determine a type of movement of an object.
Abstract: A movement recognition system includes an inertial sensor, a depth sensor, and a processor. The inertial sensor is coupled to an object and configured to measure a first unit of inertia of the object. The depth sensor is configured to measure a three dimensional shape of the object using projected light patterns and a camera. The processor is configured to receive a signal representative of the measured first unit of inertia from the inertial sensor and a signal representative of the measured shape from the depth sensor and to determine a type of movement of the object based on the measured first unit of inertia and the measured shape utilizing a classification model.
20 citations
01 Sep 2010
20 citations
Patent•
04 Feb 2013TL;DR: In this paper, an apparatus for inertial sensing consisting of at least one atomic inertial sensor and one or more microelectrical-mechanical systems (MEMS) inertial sensors operatively coupled to the atomic sensor is described.
Abstract: An apparatus for inertial sensing is provided. The apparatus comprises at least one atomic inertial sensor, and one or more micro-electrical-mechanical systems (MEMS) inertial sensors operatively coupled to the atomic inertial sensor. The atomic inertial sensor and the MEMS inertial sensors operatively communicate with each other in a closed feedback loop.
20 citations
08 Jul 2002
TL;DR: A nonlinear least square estimation scheme applied to star tracker noise extraction and identification that may affect the GOES N-Q mission, particularly the Image Navigation and Registration (INR) system performance.
Abstract: This paper presents the design, development, and validation of a nonlinear least square estimation scheme applied to star tracker noise extraction and identification. The paper is the by-product of a Post-Launch Test (PLT) tool development effort conducted by two independent teams, Swales/NASA and Boeing. The main objective is to have a set of tools ready to provide on-orbit support to the GOES N-Q Program. GOES N-Q employs a stellar inertial attitude determination (SIAD) system that achieves high precision attitude estimation by processing attitude and rate data provided by multiple star trackers (ST) and an inertial reference unit (IRU), respectively. The key component of SIAD is the ST. The ST's star position vector is corrupted by three major noise sources: temporal noise (TN), high spatial frequency noise (HSF), and low spatial frequency (LSF) noise. The last two noise sources are not while and correlated. As a result, the performance of the SIAD filter is no longer optimal, causing the reconstructed attitude knowledge to potentially satisfy requirements with a narrow margin. This tight margin is critical and may affect the GOES N-Q mission, particularly the Image Navigation and Registration (INR) system performance. The PLT toolset is expected to provide the capability to mitigate this potential problem during PLT time.
20 citations