Occupancy sensing using ultra-wide band

    公开(公告)号:US12078710B2

    公开(公告)日:2024-09-03

    申请号:US17671445

    申请日:2022-02-14

    申请人: Robert Bosch GmbH

    IPC分类号: H04B1/00 G01S7/292 G01S13/04

    CPC分类号: G01S13/04 G01S7/292

    摘要: Occupancy sensing using ultra-wideband (UWB) keyless infrastructure is provided. Channel impulse response (CIR) measurements are received from a plurality of UWB transceiver nodes arranged about a plurality of locations. A classification model it utilized to predict occupancy of each of the plurality of locations based on CIR tensors formed from the CIR measurements for each of the UWB transceiver nodes.

    ROBUST ULTRA-WIDEBAND SYSTEM AND METHOD FOR IN-VEHICLE SENSING

    公开(公告)号:US20230319811A1

    公开(公告)日:2023-10-05

    申请号:US17710666

    申请日:2022-03-31

    申请人: Robert Bosch GmbH

    发明人: Vivek Jain Yunze Zeng

    摘要: A method relates to managing communications among a set of system nodes. The set of system nodes is configured to sense a predetermined region. The method includes establishing, via a processor, a schedule that includes a communication timeslot and a sensing timeslot, which are non-overlapping. A first system node or a second system node is operable to transmit a first message wirelessly during the communication timeslot. The second system node is operable to transmit a radar transmission signal during the sensing timeslot. The second system node is operable to receive a radar reflection signal during the sensing timeslot. The radar reflection signal is based on the radar transmission signal. The first system node or the second system node is operable to transmit a second message wirelessly during the sensing timeslot. The method includes determining channel state data of the second message via a subset of the set of system nodes during the sensing timeslot. The processor is operable to generate sensor fusion data based on the radar reflection signal and the channel state data. The processor is operable to determine a sensing state of the predetermined region based on the sensor fusion data.