About: Efficient Implementation for Block Matrix Operations Nonlinear Least Squares Problems for Robotic Applications

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Efficient Implementation for Block Matrix Operations Nonlinear Least Squares Problems for Robotic Applications Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	A large number of robotic, computer vision and computer graphics applications rely on efficiently solving the associated sparse linear system. Simultaneous localization and mapping (SLAM), structure from motion (SFM), non-rigid shape recovery, elastodynamic simulations, are only few examples in this direction. In general, those problems are non-linear and the solution can be approximated by incrementally solving a series of linearized problems. In some applications, the size of the systems might considerable affect the performance, especially when the sparsity is low. This paper exploits the block structure of such problems and offers efficient solutions to manipulate block matrices. In particular, we focus on testing the method on SLAM applications, but the applicability of the technique remains general. A large number of robotic, computer vision and computer graphics applications rely on efficiently solving the associated sparse linear system. Simultaneous localization and mapping (SLAM), structure from motion (SFM), non-rigid shape recovery, elastodynamic simulations, are only few examples in this direction. In general, those problems are non-linear and the solution can be approximated by incrementally solving a series of linearized problems. In some applications, the size of the systems might considerable affect the performance, especially when the sparsity is low. This paper exploits the block structure of such problems and offers efficient solutions to manipulate block matrices. In particular, we focus on testing the method on SLAM applications, but the applicability of the technique remains general. (en)
Title	Efficient Implementation for Block Matrix Operations Nonlinear Least Squares Problems for Robotic Applications Efficient Implementation for Block Matrix Operations Nonlinear Least Squares Problems for Robotic Applications (en)
skos:prefLabel	Efficient Implementation for Block Matrix Operations Nonlinear Least Squares Problems for Robotic Applications Efficient Implementation for Block Matrix Operations Nonlinear Least Squares Problems for Robotic Applications (en)
skos:notation	RIV/00216305:26230/13:PU106287!RIV14-MSM-26230___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(7E12056), P(7H10011), P(ED1.1.00/02.0070)
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Smrž, Pavel Zemčík, Pavel Polok, Lukáš Šolony, Marek Ila, Viorela Simona
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta informačních technologií
http://linked.open...dnocenehoVysledku	72072
http://linked.open...ai/riv/idVysledku	RIV/00216305:26230/13:PU106287
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Block Matrix Operations, Nonlinear Least Squares, SLAM, Robotics (en)
http://linked.open.../riv/klicoveSlovo	Block Matrix Operations Nonlinear Least Squares SLAM Robotics
http://linked.open...ontrolniKodProRIV	[4B0E5733F08D]
http://linked.open...v/mistoKonaniAkce	Karlsruhe, Germany
http://linked.open...i/riv/mistoVydani	Karlsruhe
http://linked.open...i/riv/nazevZdroje	Proceedings of 2013 IEEE International Conference on Robotics and Automation
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	5 (xsd:int)
http://linked.open...cetTvurcuVysledku	5 (xsd:int)
http://linked.open...vavai/riv/projekt	Robust & Safe Mobile Co-operative Autonomous Systems IT4Innovations Centre of Excellence SRS - Multi-Role Shadow Robotic System for Independent Living
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Smrž, Pavel Zemčík, Pavel Šolony, Marek Polok, Lukáš Ila, Viorela Simona
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2013-05-06 (xsd:date)
number of pages	8 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE Computer Society
https://schema.org/isbn	978-1-4673-5642-8
http://localhost/t...ganizacniJednotka	26230

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 48 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software