LAIA: Labelled Attention for Intelligent Automobiles

DOI

LAIA is a dataset of synthetic driving sequences generated using the CARLA simulator. It features more than 15 hours of free driving performed by human drivers on a realistic, dynamic, or static driving platform. The driving tasks of 40 people have been collected, and the driving is not random, but is based on specifically designed scenarios. Each sequence includes RGB images accompanied by standard data (depth, optical flow, semantic and instance segmentation), ego vehicle information and, above all, eye-tracking recordings. 5 weather variations are also provided for each driving scenario. If you have any problem downloading the files, you can also download from: https://cloningdcb.org/#loaded

Identifier
DOI https://doi.org/10.34810/data2570
Related Identifier References https://doi.org/10.1109/IV55156.2024.10588598
Related Identifier References https://doi.org/10.1109/IROS55552.2023.10341506
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data2570
Provenance
Creator Hernandez Sabaté, Aura ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Hernández-Sabaté, Aura; Pau Cano; Rubén Abad; Ainoa Contreras; Gabriel Villalonga; Antonio M. López
Publication Year 2025
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Hernández-Sabaté, Aura (Centre de Visió per Computador)
Representation
Resource Type Event/transaction data; Dataset
Version 1.1
Discipline Other