Title
Chilean underground mine dataset
Abstract
AbstractThis article presents a robotic dataset collected from the largest underground copper mine in the world. The sensor measurements from a 3D scanning lidar, a 2D radar, and stereo cameras were recorded from an approximately two kilometer traverse of a production-active tunnel. The equipment used and the data collection process is discussed in detail, along with the format of the data. This dataset is suitable for research in robotic navigation, as well as simultaneous localization and mapping. The download instructions are available at the following website http://dataset.amtc.cl.
Year
DOI
Venue
2017
10.1177/0278364916679497
Periodicals
Keywords
Field
DocType
Field and service robotics, mapping, mining robotics, SLAM, robotics in hazardous fields, sensing and perception, computer vision, sensor fusion
Radar,Stereo cameras,Data collection,Remote sensing,Sensor fusion,Control engineering,Lidar,Simultaneous localization and mapping,Mathematics,Traverse
Journal
Volume
Issue
ISSN
36
1
0278-3649
Citations 
PageRank 
References 
3
0.42
6
Authors
8
Name
Order
Citations
PageRank
K. Y.K. Leung1243.12
Daniel Lühr230.42
Hamidreza Houshiar330.42
Felipe Inostroza4102.28
Dorit Borrmann521617.74
Martin Adams615021.18
Andreas Nüchter7134190.03
Javier Ruiz-del-Solar830.76