Cognitive vision based minimization of correspondence error by shear analysis for outdoor robot maps in navigation

Autor:	S. Riyas Parveen, N. Nithya, Liza M Kunjachen, P. Vinothkumar
Rok vydání:	2017
Předmět:	Cognitive map business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Mobile robot Grid Object detection Mobile robot navigation Geography Robot Computer vision Artificial intelligence Focus (optics) business Reflection mapping
Zdroj:	2017 Conference on Emerging Devices and Smart Systems (ICEDSS).
DOI:	10.1109/icedss.2017.8073661
Popis:	Computer vision makes mobile robot to create environment map for outdoor environment in the focus of straight line. The human vision and cognitive based analysis results correspondence error free spatial map. The proposed map building method computes shear angle values for every grid in forward direction. This shear factor value was varies from 44o to 65o and the value is 0.707 to 0.88. This cognitive vision map mainly useful in intelligent navigation with identifying large pits and escaped from wheel slippage in space terrains.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::dcca0f806aa1d869a98cb443cb2a25af https://doi.org/10.1109/icedss.2017.8073661 Zobrazit plný text záznamu