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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/73116

    Título
    Pedestrian detection using a MEMS acoustic array mounted on a moving vehicle
    Autor
    Izquierdo Fuente, AlbertoAutoridad UVA Orcid
    Val Puente, Lara delAutoridad UVA Orcid
    Villacorta Calvo, Juan JoséAutoridad UVA Orcid
    Año del Documento
    2024
    Editorial
    Elsevier
    Descripción
    Producción Científica
    Documento Fuente
    Sensors and Actuators A: Physical, octubre 2024, vol. 376, 115586
    Resumo
    Automatic pedestrian detection in a vehicle is of vital importance in Advanced Driver Assistance Systems (ADAS). Sensors currently used are based on cameras, radars and lidars, whose performance is degraded in environments with reduced visibility: night, smoke, fog, etc. This paper has validated the use of an active array of 150 MEMS (Micro-Electro Mechanical Systems) microphones incorporated into a conventional car moving in real urban traffic conditions, with the system working in real time, at a rate of 8 detections per second. Together with beamforming, Constant False Alarm Rate (CFAR) detection and lane detection algorithms, a crucial algorithm has been incorporated for the proper performance of the system that discriminates the detections of objects or pedestrians generated by the system from the false alarms generated by road imperfections, such as bumps, cracks, etc. Based on 6000 captures, performed with the car moving at 30 km/h, which is the typical speed limit in urban environments, it has been possible to detect pedestrians positioned at a distance from the car varying between 5 and 20 m, with a detection probability of 0.91 and a false alarm probability of 0.01. The results obtained have validated the effectiveness of using active acoustic arrays in the field of pedestrian detection and position estimation from moving cars in urban environments. The fusion of the presented system with the systems currently used for this purpose, would significantly improve the performance of pedestrian detection systems interacting with AEB (Automatic Emergency Breaking) systems, extending their operability to environments with reduced visibility, and resulting in the reduction in the number of possible collisions with pedestrians, thus increasing their safety.
    Palabras Clave
    Pedestrian detection
    MEMS microphone array
    Onboard system
    Moving vehicle
    ISSN
    0924-4247
    Revisión por pares
    SI
    DOI
    10.1016/j.sna.2024.115586
    Patrocinador
    Ministerio de Ciencia, Innovación y Universidades (RTI2018–095143-B-C22)
    Version del Editor
    https://www.sciencedirect.com/science/article/pii/S0924424724005806
    Propietario de los Derechos
    © 2024 The Authors
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/73116
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
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