Datasets for the evaluation of multi-sensor perception in natural environments with challenging conditions
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.
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.
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|Item Type:||Conference Paper|
|Keywords:||perception, data set, sensor fusion, cameras, infrared imaging, laser range finder, radar, mobile robots, unmanned ground vehicles|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2009 Please consult the authors|
|Deposited On:||05 Mar 2014 23:46|
|Last Modified:||05 Mar 2014 23:47|
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