DOWNLINK CHANNEL RATE MATCHING OF SYNCHRONIZATION SIGNAL BLOCK TRANSMISSIONS IN A NEW RADIO WIRELESS COMMUNICATION SYSTEM

    公开(公告)号:US20180199363A1

    公开(公告)日:2018-07-12

    申请号:US15865733

    申请日:2018-01-09

    Abstract: A configurable new radio (NR) resource scheduling and indication transmission procedure that may be executed by a base station and a user equipment (UE) is disclosed. For example, a base station may determine a number of synchronization signal blocks available for transmission of non-scheduling data, and transmit an indication signifying at least one of the number of synchronization signal blocks or a location of each of the number of synchronization signal blocks. Further, a UE may receiving an indication signifying at least one of a number of synchronization signal blocks or a location of each of the number of synchronization signal blocks. The UE may further determine one or more resource elements forming the number of synchronization signal blocks where non-scheduling data has been scheduled for transmission. The UE may receive the non-scheduling data within the one or more resource elements forming the number of synchronization signal blocks.

    PROCESSING FOR MACHINE LEARNING BASED OBJECT DETECTION USING SENSOR DATA

    公开(公告)号:US20240221186A1

    公开(公告)日:2024-07-04

    申请号:US18530660

    申请日:2023-12-06

    CPC classification number: G06T7/251 G06T2207/10028 G06T2207/20084

    Abstract: In some aspects, a device may obtain sensor data associated with identifying measured properties of an object in an environment. The device may detect a trigger event associated with at least one of the environment or the device. The device may modify, based on detecting the trigger event, one or more pre-processing operations associated with the sensor data for input to a neural network, and/or one or more post-processing operations associated with an object detection output of the neural network. The device may perform the one or more pre-processing operations associated with the sensor data to generate pre-processed sensor data. The device may generate the object detection output for the object based on detecting the object using the pre-processed sensor data as the input to the neural network. The device may perform the one or more post-processing operations using the object detection output. Numerous other aspects are described.

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