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Orthophoto Classification for UGV Path Planning using Heterogeneous Computing
Author(s) -
Robert Hudjakov,
Mart Tamre
Publication year - 2013
Publication title -
international journal of advanced robotic systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.394
H-Index - 46
eISSN - 1729-8814
pISSN - 1729-8806
DOI - 10.5772/56545
Subject(s) - computer science , unmanned ground vehicle , energy consumption , motion planning , orthophoto , symmetric multiprocessor system , artificial intelligence , real time computing , architecture , path (computing) , simulation , distributed computing , robot , computer network , art , ecology , visual arts , biology
We have developed a system that uses aerial imagery for improving unmanned ground vehicle navigation capabilities. The current article focuses on the viability of using heterogeneous computing architecture for improving system performance in terms of energy consumption and area analysed per second

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