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Learning-based nonlinear model predictive control to improve vision-based mobile robot path-tracking in challenging outdoor environments

contributor authorOstafew, C.J. , Schoellig, A.P. , Barfoot, T.D.
date accessioned2020-03-12T20:48:37Z
date available2020-03-12T20:48:37Z
date issued2014
identifier other6907444.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1026307?show=full
formatgeneral
languageEnglish
publisherIEEE
titleLearning-based nonlinear model predictive control to improve vision-based mobile robot path-tracking in challenging outdoor environments
typeConference Paper
contenttypeMetadata Only
identifier padid8151333
subject keywordscancer
subject keywordsimage classification
subject keywordsimage segmentation
subject keywordslearning (artificial intelligence)
subject keywordsmammography
subject keywordsmedical image processing
subject keywordsmultilayer perceptrons
subject keywordsradial basis function networks
subject keywordssupport vector machines
subject keywords2-times-of-standard deviation
subject keywords2SD
subject keywordsAWAT method
subject keywordsROC curve
subject keywordsadaptive window-and-adaptive threshold method
subject keywordsdistribution intensity
subject keywordsimage pixels
subject keywordslocal maxima detection
subject keywordslocal maxima identification
subject keywordsmammograms
subject keywordsmicrocalcification detection
subject keywordsmicrocalcification identification
subject keywordsmorphological opera
identifier doi10.1109/ICSEC.2014.6978238
journal titleobotics and Automation (ICRA), 2014 IEEE International Conference on
filesize1496852
citations1


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