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dc.contributor.authorAlarcon, Leonardo Gonzalez
dc.contributor.authorVaca Recalde, Myriam Elizabeth
dc.contributor.authorMarcano, Mauricio
dc.contributor.authorMarti, Enrique
dc.date.accessioned2018-11-14T14:05:51Z
dc.date.available2018-11-14T14:05:51Z
dc.date.issued2018-11
dc.identifier.citationAlarcon, Leonardo Gonzalez, Myriam Elizabeth Vaca Recalde, Mauricio Marcano, and Enrique Marti. “Adaptable Emergency Braking Based on a Fuzzy Controller and a Predictive Model.” 2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) (September 2018). doi:10.1109/icves.2018.8519586.en
dc.identifier.isbn978-1-5386-3544-5en
dc.identifier.urihttp://hdl.handle.net/11556/645
dc.description.abstractThis work presents the implementation of an adaptable emergency braking system for low speed collision avoidance, based on a frontal laser scanner for static obstacle detection, using a D-GPS system for positioning. A fuzzy logic decision process performs a criticality assessment that triggers the emergency braking system and modulates its behavior. This criticality is evaluated through the use of a predictive model based on a kinematic estimation, which modulates the decision to brake. Additionally a critical study is conducted in order to provide a benchmark for comparison, and evaluate the limits of the predictive model. The braking decision is based on a parameterizable braking model tuned for the target vehicle, that takes into account factors such as reaction time, distance to obstacles, vehicle velocity and maximum deceleration. Once activated, braking force is adapted to reduce vehicle occupants discomfort while ensuring safety throughout the process. The system was implemented on a real vehicle and proper operation is validated through extensive testing carried out at Tecnalia facilities.en
dc.description.sponsorshipThis project has received funding from the Electronic Component Systems for European Leadership Joint Undertaking under grant agreement No 692480. This Joint Undertaking receives support from the European Unions Horizon 2020 research and innovation programme and Germany, Netherlands, Spain, Austria, Belgium, Slovakia.en
dc.language.isoengen
dc.publisherIEEEen
dc.titleAdaptable Emergency Braking Based on a Fuzzy Controller and a Predictive Modelen
dc.typeconferenceObjecten
dc.identifier.doi10.1109/icves.2018.8519586en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/692480/EU/Flexible FE/BE Sensor Pilot Line for the Internet of Everything/IoSenseen
dc.rights.accessRightsopenAccessen
dc.subject.keywordsADASen
dc.subject.keywordsEmergency brakingen
dc.subject.keywordsFuzzy logicen
dc.subject.keywordsAutomated drivingen
dc.page.final6en
dc.page.initial1en
dc.identifier.esbn978-1-5386-3543-8en
dc.conference.title2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES)en


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