AUGMENTATION OF SENSOR DATA UNDER VARIOUS WEATHER CONDITIONS TO TRAIN MACHINE-LEARNING SYSTEMS

    公开(公告)号:US20230251384A1

    公开(公告)日:2023-08-10

    申请号:US17668229

    申请日:2022-02-09

    Inventor: Sandeep Gangundi

    CPC classification number: G01S17/931 G01S17/89 G01S7/4802 G06N20/00

    Abstract: The present technology is directed to generating augmented data that are used for training a machine-learning (ML) algorithm to recognize objects under different weather conditions. The present technology may include receiving, by one or more processors, data of an environment including objects in a first geographical location. The data of the environment may be received from sensors on a vehicle moving on a road under a first weather condition. The present technology may also include receiving reference data that represent a second weather condition. The second weather condition may include a precipitation type. The present technology may also include generating augmented data including a subset of the reference data superimposed on the data of the environment. The augmented data simulates the environment under the second weather condition to simulate the environment under the second weather condition. The present technology may include providing the augmented data to an ML algorithm for training the ML algorithm to recognize the objects in the environment under the second weather condition.

    CONFIGURATION MANAGEMENT SYSTEM FOR AUTONOMOUS VEHICLE SOFTWARE STACK

    公开(公告)号:US20230202489A1

    公开(公告)日:2023-06-29

    申请号:US17562317

    申请日:2021-12-27

    CPC classification number: B60W50/00 G05B13/0265 G06F8/65 B60W2050/0083

    Abstract: The subject disclosure relates to techniques for managing the configuration of vehicles. A process of the disclosed technology can include steps of receiving a first vehicle identifier for a first vehicle, wherein the first vehicle is associated with a first vehicle platform, identifying a first configuration for the first vehicle platform based on the first vehicle identifier, receiving a second vehicle identifier for a second vehicle, wherein the second vehicle is associated with a second vehicle platform, and wherein the first vehicle platform is different from the second vehicle platform, and identifying a second configuration for the second vehicle platform based on the second vehicle identifier, wherein the first vehicle and the second vehicle run on an identical software stack. Systems and machine-readable media are also provided.

    INCREASING SENSOR FREQUENCY
    17.
    发明申请

    公开(公告)号:US20250060459A1

    公开(公告)日:2025-02-20

    申请号:US18450693

    申请日:2023-08-16

    Inventor: Sandeep Gangundi

    Abstract: The present disclosure generally relates to techniques to increase the functional frequency of a LIDAR sensor of an autonomous vehicle without increasing the physical frequency. In some aspects, a method of the disclosed technology includes steps for collecting, using a LIDAR sensor of an autonomous vehicle (AV), first sensor data during a first portion of a scan performed by the LIDAR sensor; collecting, using the LIDAR sensor of the autonomous vehicle, second sensor data during a second portion of the scan performed by the LIDAR sensor, the first sensor data and the second sensor data measuring different portions of a scene; skipping collection of additional sensor data during a third portion of the scan performed by the LIDAR sensor; and estimating the additional sensor data based on a field-of-view (FOV) of the LIDAR sensor during the third portion of the scan. Systems and machine-readable media are also provided.

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