cff-version: 1.2.0
abstract: "
The RaDelft dataset is a novel, large-scale, real-life, and multi-sensor dataset that has been recorded using a demonstrator vehicle in different locations in the city of Delft. It contains data from a lidar, an imaging radar board, a camera, and the ego vehicle’s odometry. Check the reference paper for more details about the data collection and the sensors' setup.
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"
authors:
- family-names: Roldan
given-names: Ignacio
orcid: "https://orcid.org/0000-0003-1862-7963"
- family-names: Pálffy
given-names: András
orcid: "https://orcid.org/0000-0003-1663-4967"
- family-names: yuan
given-names: sen
orcid: "https://orcid.org/0000-0003-0175-6662"
- family-names: Zhu
given-names: Simin
orcid: "https://orcid.org/0000-0003-0092-9082"
- family-names: Fioranelli
given-names: Francesco
orcid: "https://orcid.org/0000-0001-8254-8093"
- family-names: Gavrila
given-names: Dariu
orcid: "https://orcid.org/0000-0002-1810-4196"
- family-names: Kooij
given-names: Julian F. P.
orcid: "https://orcid.org/0000-0001-9919-0710"
- family-names: Yarovoy
given-names: Alexander
title: "RaDelft Dataset: a large-scale, real-life, and multi-sensor automotive dataset"
keywords:
version: 2
identifiers:
- type: doi
value: 10.4121/4e277430-e562-4a7a-adfe-30b58d9a5f0a.v2
license: Restrictive Licence
date-released: 2024-06-10