Dataset for the automatic detection of traffic lights, street crossings and urban roundabouts based on GPS traces while driving
A specifically designed dataset generated using a driving path in Madrid which has been traveled 55 times using 3 different car models. The journey includes two urban areas and a connecting motorway. The overall length is 8.1 km and includes several road elements of interest (traffic lights, street...
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| Tipo de recurso: | conjunto de datos |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Consorcio Madroño |
| Repositorio: | e-cienciaDatos, Repositorio de Datos del Consorcio Madroño |
| OAI Identifier: | doi:10.21950/EDTWR7 |
| Acceso en línea: | https://doi.org/10.21950/EDTWR7 |
| Access Level: | acceso abierto |
| Palabra clave: | Computer and Information Science Engineering Traffic element detection Outlier based classification Machine learning techniques GPS pattern analysis |
| Sumario: | A specifically designed dataset generated using a driving path in Madrid which has been traveled 55 times using 3 different car models. The journey includes two urban areas and a connecting motorway. The overall length is 8.1 km and includes several road elements of interest (traffic lights, street crossings and roundabouts). The dataset has been generated from one driver driving the 3 different vehicles without being aware of the purpose of the experiment. He was asked to drive normally while an Android mobile device recorded the GPS traces.</br> Vehicles used for the data gathering.</br> Model and Times used:</br> Peugeot 206, 7</br> Citroen Xsara Picasso, 28</br> Opel Zafira, 20</br> |
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