Sample Datasets

This page contains information about datasets used in the RA-L 2019 publication:

Margarita Grinvald, Fadri Furrer, Tonci Novkovic, Jen Jen Chung, Cesar Cadena, Roland Siegwart, Juan Nieto, Volumetric Instance-Aware Semantic Mapping and 3D Object Discovery, IEEE Robotics and Automation Letters, 2019. [PDF]

More information about the two datasets can be found here.

SceneNN sequence 231

\

Download this dataset at the following link: scenenn_231.bag - 7.9 GB.

Else, from the terminal:

wget http://robotics.ethz.ch/~asl-datasets/RAL-2019-voxblox-plusplus/scenenn_231/scenenn_231.bag

ASL Office floor

Get this dataset at the following link: asl_office_floor.bag - 6.3 GB.

Else, from the terminal:

wget http://robotics.ethz.ch/~asl-datasets/RAL-2019-voxblox-plusplus/office_floor/asl_office_floor.bag