CUPAC – The Coventry University public road dataset for automated cars

Yannik Weber, Stratis Kanarachos

    Research output: Contribution to journalArticlepeer-review

    1 Citation (Scopus)
    3 Downloads (Pure)

    Abstract

    This article presents a dataset recorded with a sensor-equipped research vehicle on public roads in the city of Coventry in the United Kingdom. The sensor suite includes a monocular-, infrared- and smartphone-camera, as well as a LiDAR unit, GPS receiver, smartphone sensors and vehicle CAN bus data logger. Data were collected by day and night in a variety of traffic, weather and road surface conditions with a focus on the correlation between vehicle dynamics and the environmental perception process of automated vehicles.

    Original languageEnglish
    Article number104950
    Number of pages6
    JournalData in Brief
    Volume28
    Early online date7 Dec 2019
    DOIs
    Publication statusPublished - Feb 2020

    Bibliographical note

    This is an open access article under the CC BY license

    Funder

    This project is part of the Interdisciplinary Training Network for Multi-Actuated Ground Vehicles (ITEAM) European program and has received funding from the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 675999 .

    Keywords

    • Automated vehicles
    • Computer vision
    • Public road data
    • Road anomalies
    • SLAM
    • Target state estimation
    • Vehicle dynamics

    ASJC Scopus subject areas

    • General

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