Fuzzy Alarm System Based On Human-Centered Approach
PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON VEHICLE TECHNOLOGY AND INTELLIGENT TRANSPORT SYSTEMS (VEHITS)(2020)
摘要
This paper presents an Advanced Driver Assistance System (ADAS), based on a fuzzy logic decision support system and developed by using a multi-agent system. The ADAS is designed so that it can detect dangerous situations on urban environments and alert the driver about them if necessary. For that, it collects data from the car, the car's surroundings and the driver, and represents the information as an OWL ontology. Then, a fuzzy logic inference system uses this information to evaluate whether there is danger or not. The system can detect 9 dangerous situations by using a repository of 14 fuzzy rules, based on a previous work and expanded on this one. Although with limitations, the results show that the ADAS can alert the driver when the driver is in a dangerous situation.
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关键词
ADAS, Advanced Driver Assistance System, Alarm System, Fuzzy Logic, Multi-agent Systems, Ontology
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