NOISE TESTING IN AN AUTONOMOUS VEHICLE
    1.
    发明申请

    公开(公告)号:US20180367895A1

    公开(公告)日:2018-12-20

    申请号:US15933730

    申请日:2018-03-23

    发明人: Paul Kevin Smith

    摘要: The present disclosure provides systems and methods for determining a noise level associated with an autonomous vehicle. The autonomous vehicle can include a passenger compartment configured to house one or more passengers. A method can include positioning one or more microphones at one or more locations in the passenger compartment, collecting first data indicative of a first sound level by the one or more microphones with the autonomous vehicle operating at a first operating condition, implementing an operating condition change for the autonomous vehicle from the first operating condition to a second operating condition, collecting second data indicative of a second sound level by the one or more microphones, and determining a noise level associated with the autonomous vehicle based at least in part on the first data and the second data.

    Noise testing in an autonomous vehicle

    公开(公告)号:US10382862B2

    公开(公告)日:2019-08-13

    申请号:US15933730

    申请日:2018-03-23

    发明人: Paul Kevin Smith

    摘要: The present disclosure provides systems and methods for determining a noise level associated with an autonomous vehicle. The autonomous vehicle can include a passenger compartment configured to house one or more passengers. A method can include positioning one or more microphones at one or more locations in the passenger compartment, collecting first data indicative of a first sound level by the one or more microphones with the autonomous vehicle operating at a first operating condition, implementing an operating condition change for the autonomous vehicle from the first operating condition to a second operating condition, collecting second data indicative of a second sound level by the one or more microphones, and determining a noise level associated with the autonomous vehicle based at least in part on the first data and the second data.