Systems and Methods for IQ Detection
    65.
    发明公开

    公开(公告)号:US20230176224A1

    公开(公告)日:2023-06-08

    申请号:US18160836

    申请日:2023-01-27

    摘要: A system and method for combining multiple functions of a light detection and ranging (LIDAR) system includes receiving a second optical beam generated by the laser source or a second laser source, wherein the second optical beam is associated with a second local oscillator (LO); splitting the second optical beam into a third split optical beam and a fourth split optical beam; transmitting, to the optical device, the third split optical beam and the fourth split optical beam; receiving, from the optical device, a third reflected beam that is associated with the third split optical beam and a fourth reflected beam that is associated with the fourth split optical beam; and pairing the third reflected beam with the second LO signal and the fourth reflected beam with the second LO signal.

    EXTERNAL ENVIRONMENT SENSOR DATA PRIORITIZATION FOR AUTONOMOUS VEHICLE

    公开(公告)号:US20230046691A1

    公开(公告)日:2023-02-16

    申请号:US17977396

    申请日:2022-10-31

    IPC分类号: G05D1/00 G05D1/02

    摘要: An autonomous vehicle includes an array of sensors, a processor, and a switch. The array of sensors generate sensor data related to one or more objects in an external environment of the autonomous vehicle and the processor determines an environmental context. The switch transfers the sensor data from the array of sensors to the processor, where the switch is configured to: (a) receive first sensor data from a first sensor group of the array of sensors; (b) receive second sensor data from a second sensor group of the array of sensors; (c) determine an order of transmission of the first sensor data over the second sensor data in response to the environmental context; and (d) transmit the first sensor data to the processor prior to transmitting the second sensor data based on the order of transmission.

    Generating Labeled Training Instances for Autonomous Vehicles

    公开(公告)号:US20220230026A1

    公开(公告)日:2022-07-21

    申请号:US17713782

    申请日:2022-04-05

    摘要: In techniques disclosed herein, machine learning models can be utilized in the control of autonomous vehicle(s), where the machine learning models are trained using automatically generated training instances. In some such implementations, a label corresponding to an object in a labeled instance of training data can be mapped to the corresponding instance of unlabeled training data. For example, an instance of sensor data can be captured using one or more sensors of a first sensor suite of a first vehicle can be labeled. The label(s) can be mapped to an instance of data captured using one or more sensors of a second sensor suite of a second vehicle.