Acceleration of the finite element method using hybrid OpenMP-CUDA
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سال
: 2014شناسه الکترونیک: 10.1109/IROS.2014.6943151
کلیدواژه(گان): collision avoidance,image representation,mobile robots,probability,robot vision,OctoMap representation framework,collision probability,domestic environment,domestic environments,maximum velocity,proactive approach,probabilistic sensor measurement fusion,real domestic environment,robot path,robot position uncertainty,safe robot navigation,safe velocity limit,three-dimensional volumetric representation method,unpredictable moving obstacles,volume occupancy probability representa
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Acceleration of the finite element method using hybrid OpenMP-CUDA
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date accessioned | 2020-03-12T20:45:59Z | |
date available | 2020-03-12T20:45:59Z | |
date issued | 2014 | |
identifier other | 6905015.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1024676 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Acceleration of the finite element method using hybrid OpenMP-CUDA | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8149644 | |
subject keywords | collision avoidance | |
subject keywords | image representation | |
subject keywords | mobile robots | |
subject keywords | probability | |
subject keywords | robot vision | |
subject keywords | OctoMap representation framework | |
subject keywords | collision probability | |
subject keywords | domestic environment | |
subject keywords | domestic environments | |
subject keywords | maximum velocity | |
subject keywords | proactive approach | |
subject keywords | probabilistic sensor measurement fusion | |
subject keywords | real domestic environment | |
subject keywords | robot path | |
subject keywords | robot position uncertainty | |
subject keywords | safe robot navigation | |
subject keywords | safe velocity limit | |
subject keywords | three-dimensional volumetric representation method | |
subject keywords | unpredictable moving obstacles | |
subject keywords | volume occupancy probability representa | |
identifier doi | 10.1109/IROS.2014.6943151 | |
journal title | ntennas and Propagation Society International Symposium (APSURSI), 2014 IEEE | |
filesize | 329826 | |
citations | 0 | |
contributor rawauthor | Huan-Ting Meng , Bao-Lin Nie , Jian-Ming Jin , Wong, S. , Macon, C. |