|
Descripción
|
|
|---|---|
| The present work shows an application to detect cars in night environments as a means to assist the car driving through HSV (Hue, Saturation, Value) colour extraction and geometric modelling. The developed algorithm has been implemented in smart devices through the platform Android. The detection and tracking of vehicles are implemented in low visibility environments such as night time, raining or snowing conditions; the different tests carried out confirm high performance rates of detection (p = 95.2 %). The information provided by the different sensors of the smart devices have been used to generate virtual information in a real driving environment (Augmented Reality) in order to complement the functionalities of the purposed solution. This information consists of visual, vibratory and auditory warnings that detect possible collisions and dangerous driving situations. | |
|
Internacional
|
Si |
|
Nombre congreso
|
International Conference on Smart Cities 2016 |
|
Tipo de participación
|
960 |
|
Lugar del congreso
|
Málaga, España |
|
Revisores
|
Si |
|
ISBN o ISSN
|
978-3-319-39594-4 |
|
DOI
|
10.1007/978-3-319-39595-1_12 |
|
Fecha inicio congreso
|
15/06/2016 |
|
Fecha fin congreso
|
17/06/2016 |
|
Desde la página
|
118 |
|
Hasta la página
|
127 |
|
Título de las actas
|
Proceedings of the First International Conference on Smart Cities - Volume 9704 |