Name
Abstract | ||
|---|---|---|
In the last decades the cost of manufacturing sensors has decreased greatly, making it possible to apply many different artificial intelligence techniques to improve the quality of our lives, one of them being the reduction of deaths in traffic accidents. Such misfortunes are usually caused by the long waiting period between the occurrence of the accident, the calling of the emergency service and their arrival. The goal of this work is to design an intelligent platform that detects a traffic accident automatically and which requires no interaction on the part of the people involved. We will design a low-cost hardware that will be suited to all types of vehicles. The sensors and medical services will be interconnected by a multi-agent system of virtual organizations (PANGEA). |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-61118-1_9 | AMBIENT INTELLIGENCE- SOFTWARE AND APPLICATIONS- 8TH INTERNATIONAL SYMPOSIUM ON AMBIENT INTELLIGENCE (ISAMI 2017) |
Keywords | Field | DocType |
Wi-Fi,Smartphone,Emergency service,Embedded sensors,PANGEA | Collision detection,Computer science,Real-time computing,Traffic accident,Mobile device | Conference |
Volume | ISSN | Citations |
615 | 2194-5357 | 0 |
PageRank | References | Authors |
0.34 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alberto Moro | 1 | 0 | 0.34 |
| Fabio Andrés | 2 | 0 | 0.34 |
| Gabriel Villarrubia | 3 | 183 | 24.85 |
| Daniel Hernández | 4 | 9 | 4.03 |
| Juan Francisco de Paz | 5 | 395 | 52.24 |