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

Data Brief. 2019 Dec 7:28:104950. doi: 10.1016/j.dib.2019.104950. eCollection 2020 Feb.

Authors

Yannik Weber¹, Stratis Kanarachos¹

Affiliation

¹ Research Institute Future Transport and Cities, Coventry University, Priory Street, CV1 5FB, United Kingdom.

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.

Keywords: Automated vehicles; Computer vision; Public road data; Road anomalies; SLAM; Target state estimation; Vehicle dynamics.