Collision Detection System Using Mobile Devices and PANGEA
| Autor: | Fabio Andrés, Gabriel Villarrubia, Alberto Moro, Daniel Hernández, Juan F. De Paz |
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| Rok vydání: | 2017 |
| Předmět: |
Service (systems architecture)
Computer science Traffic accident media_common.quotation_subject 010401 analytical chemistry Real-time computing 01 natural sciences Waiting period 0104 chemical sciences Medical services 03 medical and health sciences 0302 clinical medicine Work (electrical) Quality (business) Collision detection 030216 legal & forensic medicine Mobile device media_common |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783319611174 ISAmI |
| DOI: | 10.1007/978-3-319-61118-1_9 |
| Popis: | 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). |
| Databáze: | OpenAIRE |
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