Abstract | ||
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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 |
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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. Leung | 1 | 24 | 3.12 |
Daniel Lühr | 2 | 3 | 0.42 |
Hamidreza Houshiar | 3 | 3 | 0.42 |
Felipe Inostroza | 4 | 10 | 2.28 |
Dorit Borrmann | 5 | 216 | 17.74 |
Martin Adams | 6 | 150 | 21.18 |
Andreas Nüchter | 7 | 1341 | 90.03 |
Javier Ruiz-del-Solar | 8 | 3 | 0.76 |