Detecting sound sources in a physical space-of-interest is challenging due to strong ego-noise from micro aerial vehicles (MAVs)′ propeller units, which is both wideband and non-stationary. The present subject matter discloses a system and method for acoustic source localization with aerial drones. In an embodiment, a wideband acoustic signal is received from an aerial drone. Further, the wideband acoustic signal is splitted into multiple narrow sub-bands having cells. Moreover, from a measurement position corresponding to each of the multiple narrow sub-bands, power in each of the cells is measured by forming a beam to each of the cells. In addition, intra-band and inter measurement fusion of the measured power at each of the cells is performed. Also, geo-location of an acoustic source corresponding to the wideband acoustic signal is identified upon performing intra-band and inter measurement fusion of the measured power.


    Access

    Download


    Export, share and cite



    Title :

    SYSTEM METHOD FOR ACOUSTIC SOURCE LOCALIZATION WITH AERIAL DRONES



    Publication date :

    2019-01-31


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G01S RADIO DIRECTION-FINDING , Funkpeilung / B64C AEROPLANES , Flugzeuge / H04R LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS , Lautsprecher, Mikrofone, Schallplatten-Tonabnehmer oder ähnliche akustische, elektromechanische Wandler



    System method for acoustic source localization with aerial drones

    MISRA PRASANT KUMAR / KUMAR ACHANNA ANIL / PURUSH OTHAMAN BALAMURA LIDHAR | European Patent Office | 2020

    Free access

    RAIL: Robust Acoustic Indoor Localization for Drones

    Famili, Alireza / Stavrou, Angelos / Wang, Haining et al. | IEEE | 2022


    Aerial Charging System for Drones and Drones Including the Same

    SHIM YOUNG CHEL | European Patent Office | 2023

    Free access

    Drones for aerial photogrammetry

    KIM HYUN CHUL / SHIN YONG KYEUM / SONG GEUN MOK et al. | European Patent Office | 2018

    Free access

    Multi-unmanned aerial vehicle multi acoustic source localization

    Manickam, Suresh / Swar, Sufal Chandra / Casbeer, David W et al. | SAGE Publications | 2021