Artículo de revista
Chilean underground mine dataset
Fecha
2017Registro en:
International Journal of Robotics Research, Volumen 36, Issue 1, 2017, Pages 16-23
17413176
02783649
10.1177/0278364916679497
Autor
Leung, Keith
Lühr, Daniel
Houshiar, Hamidreza
Inostroza Allende, Luis Felipe
Borrmann, Dorit
Adams, Martin
Nüchter, Andreas
Ruiz del Solar, Javier
Institución
Resumen
This article presents a robotic dataset collected from the largest underground copper mine in the world. The sensor mea-surements from a 3D scanning lidar, a 2D radar, and stereo cameras were recorded from an approximately two kilometertraverse of a production-active tunnel. The equipment used and the data collection process is discussed in detail, alongwith the format of the data. This dataset is suitable for research in robotic navigation, as well as simultaneous localizationand mapping. The download instructions are available at the following website.