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Vehicle speed estimation using audio features and neural networks
dc.creator | Giraldo-Guzmán J. | |
dc.creator | Marrugo A.G. | |
dc.creator | Contreras Ortiz, Sonia Helena | |
dc.date.accessioned | 2020-03-26T16:32:38Z | |
dc.date.available | 2020-03-26T16:32:38Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Proceedings of the 2016 IEEE ANDESCON, ANDESCON 2016 | |
dc.identifier.isbn | 9781509025312 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12585/8940 | |
dc.description.abstract | Many car accidents that result in pedestrian deaths or serious injuries are due to their inattention when crossing the street. Pedestrians often get distracted using mobile phones or music players, what prevents them to perceive warning signs and sounds. In this work, we developed a method to estimate the speed of an approaching vehicle using features of the generated acoustic signals. This system can be used as a component of a warning system of potential road risks for pedestrians. We used a single microphone to record audio signals. They were processed to extract features in frequency and time domains that were used as inputs to a neural network. Speed estimation was done using a feed forward neural network. We used several architectures and training algorithms. Results show mean error percentages of 14.57% for speeds from 10 to 40 km/h when using a neural network with two hidden layers. © 2016 IEEE. | eng |
dc.description.sponsorship | IEEE Peru Section | |
dc.format.medium | Recurso electrónico | |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.source | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015226955&doi=10.1109%2fANDESCON.2016.7836250&partnerID=40&md5=f9ffd2bccf30cac1571f2e65300bc7b5 | |
dc.source | Scopus2-s2.0-85015226955 | |
dc.title | Vehicle speed estimation using audio features and neural networks | |
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datacite.rights | http://purl.org/coar/access_right/c_16ec | |
oaire.resourceType | http://purl.org/coar/resource_type/c_c94f | |
oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
dc.source.event | 2016 IEEE ANDESCON, ANDESCON 2016 | |
dc.type.driver | info:eu-repo/semantics/conferenceObject | |
dc.type.hasversion | info:eu-repo/semantics/publishedVersion | |
dc.identifier.doi | 10.1109/ANDESCON.2016.7836250 | |
dc.subject.keywords | Accidents | |
dc.subject.keywords | Acoustic signals | |
dc.subject.keywords | Audio features | |
dc.subject.keywords | Frequency and time domains | |
dc.subject.keywords | Hidden layers | |
dc.subject.keywords | Music players | |
dc.subject.keywords | Serious injuries | |
dc.subject.keywords | Speed estimation | |
dc.subject.keywords | Training algorithms | |
dc.subject.keywords | Pedestrian safety | |
dc.rights.accessrights | info:eu-repo/semantics/restrictedAccess | |
dc.rights.cc | Atribución-NoComercial 4.0 Internacional | |
dc.identifier.instname | Universidad Tecnológica de Bolívar | |
dc.identifier.reponame | Repositorio UTB | |
dc.relation.conferencedate | 19 October 2016 through 21 October 2016 | |
dc.type.spa | Conferencia | |
dc.identifier.orcid | 56520286300 | |
dc.identifier.orcid | 24329839300 | |
dc.identifier.orcid | 57210822856 |
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Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.