Datasets for the evaluation of multi-sensor perception in natural environments with challenging conditions
Data(s) |
01/06/2009
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Resumo |
This paper presents large, accurately calibrated and time-synchronised datasets, gathered outdoors in controlled environmental conditions, using an unmanned ground vehicle (UGV), equipped with a wide variety of sensors. It discusses how the data collection process was designed, the conditions in which these datasets have been gathered, and some possible outcomes of their exploitation, in particular for the evaluation of performance of sensors and perception algorithms for UGVs. |
Formato |
application/pdf |
Identificador | |
Relação |
http://eprints.qut.edu.au/67625/1/PEYNOT-RSS-GEM-2009.pdf Peynot, Thierry & Scheding, Steven (2009) Datasets for the evaluation of multi-sensor perception in natural environments with challenging conditions. In Workshop on Good Experimental Methodology in Robotics (GEM), Robotics: Science and Systems (RSS), Seattle, WA, USA. |
Direitos |
Copyright 2009 Please consult the authors |
Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #080100 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING #perception #data set #sensor fusion #cameras #infrared imaging #laser range finder #radar #mobile robots #unmanned ground vehicles |
Tipo |
Conference Paper |