The Marulan data sets: multi-sensor perception in a natural environment with challenging conditions
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.
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.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Item Type:||Journal Article|
Marulan data sets
variable environmental conditions
unmanned ground vehicle
2D laser scanners
|Keywords:||mobile robots, perception, cameras, laser range finder, radar, sensor fusion|
|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 2010 SAGE Publications|
|Deposited On:||06 Mar 2014 01:42|
|Last Modified:||07 Mar 2014 12:27|
Repository Staff Only: item control page