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 |
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Article number | 104950 |
Number of pages | 6 |
Journal | Data in Brief |
Volume | 28 |
Early online date | 7 Dec 2019 |
DOIs | |
Publication status | Published - Feb 2020 |
Bibliographical note
This is an open access article under the CC BY licenseFunder
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 |
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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