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Vehicle speed estimation using audio features and neural networks

dc.creatorGiraldo-Guzman J.
dc.creatorMarrugo A.G.
dc.creatorContreras-Ortiz S.H.
dc.identifier.citationProceedings of the 2016 IEEE ANDESCON, ANDESCON 2016
dc.description.abstractMany 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.sponsorshipIEEE Peru Section
dc.format.mediumRecurso electrónico
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.titleVehicle speed estimation using audio features and neural networks
dcterms.bibliographicCitationAshmead, D.H., Grantham, D.W., Maloff, E.S., Hornsby, B., Nakamura, T., Davis, T.J., Pampel, F., Rushing, E.G., Auditory perception of motor vehicle travel paths (2012) Human Factors: The Journal of the Human Factors and Ergonomics Society, 54 (3), pp. 437-453
dcterms.bibliographicCitationEmerson, R.W., Naghshineh, K., Hapeman, J., Wiener, W., A pilot study of pedestrians with visual impairments detecting traffic gaps and surges containing hybrid vehicles (2011) Transportation Research Part F: Traffic Psychology and Behaviour, 14 (2), pp. 117-127
dcterms.bibliographicCitationPfeffer, K., Barnecutt, P., Children's auditory perception of movement of traffic sounds (1996) Child: Care, Health and Development, 22 (2), pp. 129-137
dcterms.bibliographicCitationSchwebel, D.C., Stavrinos, D., Byington, K.W., Davis, T., O'Neal, E.E., De Jong, D., Distraction and pedestrian safety: How talking on the phone, texting, and listening to music impact crossing the street (2012) Accident Analysis & Prevention, 45, pp. 266-271
dcterms.bibliographicCitationStelling-Konczak, A., Hagenzieker, M., Van Wee, G., Cycling and sounds: The impact of the use of electronic devices on cycling safety (2013) Proceedings of the 3rd International Conference on Driver Distraction and Inattention, , Gothenburg, Sweden, 4-6 September
dcterms.bibliographicCitationOrganization, W.H., (2013) Global Status Report on Road Safety 2013: Supporting A Decade of Action: Summary
dcterms.bibliographicCitationThomas, D., Wilkins, B., Determination of engine firing rate from the acoustic waveform (1970) Electronics Letters, 7 (6), pp. 193-194
dcterms.bibliographicCitationBoashash, B., O'Shea, P., A methodology for detection and classification of some underwater acoustic signals using time-frequency analysis techniques (1990) IEEE Transactions on Acoustics, Speech, and Signal Processing, 38 (11), pp. 1829-1841
dcterms.bibliographicCitationCevher, V., Chellappa, R., McClellan, J.H., Vehicle speed estimation using acoustic wave patterns (2009) IEEE Transactions on Signal Processing, 57 (1), pp. 30-47
dcterms.bibliographicCitationKoops, H.V., Franchetti, F., (2015) An Ensemble Technique for Estimating Vehicle Speed and Gear Position from Acoustic Data, pp. 422-426
dcterms.bibliographicCitationDogan, S., Temiz, M.S., Külür, S., Real time speed estimation of moving vehicles from side view images from an uncalibrated video camera (2010) Sensors, 10 (5), pp. 4805-4824
dcterms.bibliographicCitationSaqib, M., Khan, S.D., Basalamah, S.M., Techniques to estimate vehicle speed International Conference on Advanced Communications and Computation, (C), pp. 98-102
dcterms.bibliographicCitationJhumat, S., Purwar, R.K., Techniques to estimate vehicle speed International Journal Od Advanced Research in Computer and Communication Engineering, (6), pp. 6875-6878
dcterms.bibliographicCitationKassem, N., Kosba, A.E., Youssef, M., (2012) Rf-based Vehicle Detection and Speed Estimation, pp. 1-5
dcterms.bibliographicCitationLi, H., Dong, H., Jia, L., Xu, D., Qin, Y., (2011) Some Practical Vehicle Speed Estimation Methods by A Single Traffic Magnetic Sensor, pp. 1566-1573
dcterms.bibliographicCitationJacobsen, E., Kootsookos, P., Fast, accurate frequency estimators (2007) IEEE Signal Process. Mag, 24 (3), pp. 123-125
dc.source.event2016 IEEE ANDESCON, ANDESCON 2016
dc.subject.keywordsAcoustic signals
dc.subject.keywordsAudio features
dc.subject.keywordsFrequency and time domains
dc.subject.keywordsHidden layers
dc.subject.keywordsMusic players
dc.subject.keywordsSerious injuries
dc.subject.keywordsSpeed estimation
dc.subject.keywordsTraining algorithms
dc.subject.keywordsPedestrian safety
dc.rights.ccAtribución-NoComercial 4.0 Internacional
dc.identifier.instnameUniversidad Tecnológica de Bolívar
dc.identifier.reponameRepositorio UTB
dc.relation.conferencedate19 October 2016 through 21 October 2016

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