Chilean underground mine dataset

Author:

Leung Keith1,Lühr Daniel2,Houshiar Hamidreza3,Inostroza Felipe4,Borrmann Dorit3,Adams Martin4,Nüchter Andreas3,Ruiz del Solar Javier4

Affiliation:

1. Applanix Corporation (Trimble Inc.), Canada

2. Universidad Austral de Chile, Valdivia, Chile

3. Julius-Maximilians-Universität, Würzburg, Germany

4. Department of Electrical Engineering and the Advanced Mining Technology Center (AMTC), Universidad de Chile, Santiago, Chile

Abstract

This 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 .

Publisher

SAGE Publications

Subject

Applied Mathematics,Artificial Intelligence,Electrical and Electronic Engineering,Mechanical Engineering,Modelling and Simulation,Software

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1. Method for Underground Mining Shaft Sensor Data Collection;Sensors;2024-06-25

2. BotanicGarden: A High-Quality Dataset for Robot Navigation in Unstructured Natural Environments;IEEE Robotics and Automation Letters;2024-03

3. MIN3D Dataset: MultI-seNsor 3D Mapping with an Unmanned Ground Vehicle;PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science;2023-10-06

4. BED-BPP: Benchmarking dataset for robotic bin packing problems;The International Journal of Robotics Research;2023-08-02

5. Multimodal Dataset from Harsh Sub-Terranean Environment with Aerosol Particles for Frontier Exploration;2023 31st Mediterranean Conference on Control and Automation (MED);2023-06-26

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