Exploitation of stream processing on graphical processors in inertial navigation

Sarel F. Roets, Johan Meyer, Francois Du Plessis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper focusses on implementing an Inertial Navigation System (INS) on a Graphics Processor Unit (GPU). The GPU allows simultaneous processing of large amounts of data and multiple use of the algorithm at the same time. Using the stream processing abilities of the GPU an investigation is launched into the simultaneous running of several navigation algorithms (INS's) with different sensor error models for each INS algorithm. The simultaneous processing of several INS systems allows for faster simulation times and data analysis. Aiding an error perturbed INS with a Kalman filter (KF) is considered when tuning the KF to obtain the optimally tuned KF from n amounts of KF's.

Original languageEnglish
Title of host publicationIEEE Africon 2009
DOIs
Publication statusPublished - 2009
EventIEEE Africon 2009 - Nairobi, Kenya
Duration: 23 Sept 200925 Sept 2009

Publication series

NameIEEE AFRICON Conference

Conference

ConferenceIEEE Africon 2009
Country/TerritoryKenya
CityNairobi
Period23/09/0925/09/09

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Exploitation of stream processing on graphical processors in inertial navigation'. Together they form a unique fingerprint.

Cite this