Datasets for the evaluation of multi-sensor perception in natural environments with challenging conditions


Autoria(s): Peynot, Thierry; Scheding, Steven
Data(s)

01/06/2009

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

http://eprints.qut.edu.au/67625/

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