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.

Abstract

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.

Impact and interest:

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ID Code: 67625
Item Type: Conference Paper
Refereed: No
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 > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2009 Please consult the authors
Deposited On: 05 Mar 2014 23:46
Last Modified: 03 Jul 2017 03:08

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