VEHICLES, SYSTEMS AND METHODS FOR AUTOMATICALLY DETECTING A STATE OF SIGNAL LIGHTS OF A VEHICLE

    公开(公告)号:US20230252799A1

    公开(公告)日:2023-08-10

    申请号:US17667876

    申请日:2022-02-09

    IPC分类号: G06V20/58 G06T7/254

    CPC分类号: G06V20/584 G06T7/254

    摘要: In one embodiment, a signal light state detection system includes one or more processors, an a non-transitory memory module storing computer-readable instructions. The computer-readable instructions are configured to cause the one or more processors to receive a first image of a vehicle and receiving a second image of the vehicle, wherein the second image is later in time from the first image, and generate a warped image from the first image and the second image, wherein the warped image has individual pixels of one of the first image and the second image that are shifted to locations of corresponding pixels of the other of the first image and the second image. The one or more processors further generate a difference image from the warped image and one of the first image and the second image, and determine, using a classifier module, a probability of a state of vehicle signal lights.

    SYSTEMS AND METHODS FOR GLOBAL OPTIMIZATION OF MATERIAL PROPERTIES

    公开(公告)号:US20230237339A1

    公开(公告)日:2023-07-27

    申请号:US17582687

    申请日:2022-01-24

    IPC分类号: G06N3/08 G06N3/04

    CPC分类号: G06N3/088 G06N3/0481

    摘要: A machine learning system includes a processor and a memory communicably coupled to the processor. The memory stores an acquisition module, a mapping module, a machine learning module, a fitting module, and a minimization module that include instructions that when executed by the processor cause the processor to: select a training dataset, map the training dataset from an input space to an output space such that the mapped training dataset is convex; train a machine learning model to learn a convex function that approximates the mapped training dataset in the output space; learn a minimum of the convex function; map the minimum of the convex function to the input space; and predict, based at least in part on the minimum of the convex function mapped to the input space, an optimum material property value and a corresponding material composition.

    SYSTEM AND METHOD FOR PROVIDING FRICTION CIRCLE FEEDBACK FOR VEHICLE SAFETY

    公开(公告)号:US20230227070A1

    公开(公告)日:2023-07-20

    申请号:US17578233

    申请日:2022-01-18

    IPC分类号: B60W60/00 B60W30/18

    摘要: System and methods are provided for implementing friction circle safety controls in a vehicle, such as an autonomous vehicle. A system can apply a friction circle analysis during the vehicle's operation, in order to perform a safety-based evaluation of maneuvers that impact the dynamic relationship between a vehicle's tires and a road surface. The system also establishes a link between the vehicle's lateral controls (e.g., steering wheel) and the vehicle's longitudinal controls (e.g., brake and throttle pedals), such that a frictional force of the tires against the road's surface, does not does not exceed a traction limit (e.g., limit of a tire's grip on the road surface) for the particular vehicle. For example, friction circle safety controls can automatically provide feedback and/or automatic driving actions to adjust a relationship between the steering wheel and brake/throttle pedals of the vehicle to maintain operation of the vehicle within the friction circle.