The Marulan data sets: multi-sensor perception in a natural environment with challenging conditions


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

2010

Resumo

In this paper we present large, accurately calibrated and time-synchronized data sets, gathered outdoors in controlled and variable environmental conditions, using an unmanned ground vehicle (UGV), equipped with a wide variety of sensors. These include four 2D laser scanners, a radar scanner, a color camera and an infrared camera. It provides a full description of the system used for data collection and the types of environments and conditions in which these data sets have been gathered, which include the presence of airborne dust, smoke and rain.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/67660/

Publicador

SAGE Journals

Relação

http://eprints.qut.edu.au/67660/1/Peynot-IJRR-2010_Final.pdf

DOI:10.1177/0278364910384638

Peynot, Thierry, Scheding, Steven, & Terho, Sami (2010) The Marulan data sets: multi-sensor perception in a natural environment with challenging conditions. International Journal of Robotics Research, 29(13), pp. 1602-1607.

Direitos

Copyright 2010 SAGE Publications

Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Palavras-Chave #080100 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING #mobile robots #perception #cameras #laser range finder #radar #sensor fusion
Tipo

Journal Article