CUPAC – The Coventry University public road dataset for automated cars

Yannik Weber; Stratis Kanarachos

doi:10.1016/j.dib.2019.104950

CUPAC – The Coventry University public road dataset for automated cars

Yannik Weber
, Stratis Kanarachos

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

78 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 language	English
Article number	104950
Number of pages	6
Journal	Data in Brief
Volume	28
Early online date	7 Dec 2019
DOIs	https://doi.org/10.1016/j.dib.2019.104950
Publication status	Published - 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 .

Funding

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 .

Funders	Funder number
H2020 Marie Skłodowska-Curie Actions	675999

Keywords

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

ASJC Scopus subject areas

General

Access to Document

10.1016/j.dib.2019.104950Licence: CC BY

PublishedFinal published version, 939 KBLicence: CC BY

Cite this

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author = "Yannik Weber and Stratis Kanarachos",

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AB - 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.

KW - Automated vehicles

KW - Computer vision

KW - Public road data

KW - Road anomalies

KW - SLAM

KW - Target state estimation

KW - Vehicle dynamics

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CUPAC – The Coventry University public road dataset for automated cars

Abstract

Bibliographical note

Funder

Funding

Keywords

ASJC Scopus subject areas

Access to Document

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