IDENTIFYING A SPECIFIC OBJECT IN A TWO-DIMENSIONAL IMAGE OF OBJECTS

    公开(公告)号:US20220012504A1

    公开(公告)日:2022-01-13

    申请号:US16927467

    申请日:2020-07-13

    摘要: An object detection system can identify a specific object in a two-dimensional image. A processor can receive the two-dimensional image with bounding boxes around objects. The processor can cause a point to appear in the two-dimensional image. The point can represent a position, in three-dimensional space, of the specific object. The processor can determine an existence of a condition. The condition can be that the point is enclosed by a plurality of bounding boxes. The processor can receive, in response to the existence of the condition, a depth image. The processor can determine, in response to the existence of the condition and based on information included in the depth image and a location of the point in the two-dimensional image, a specific bounding box that encloses the point. The processor can cause, based on a location of the specific bounding box, an indication of the specific object to be presented.

    REST STOP RECOMMENDATION SYSTEM
    2.
    发明申请

    公开(公告)号:US20220058495A1

    公开(公告)日:2022-02-24

    申请号:US16998529

    申请日:2020-08-20

    摘要: In one embodiment, a rest stop recommendation system monitors driving behavior of a driver and stores information indicating the driving behavior as historical data, determines, based at least in part on the historical data, a driver tiredness state, a continuous driving length preference, and a refueling pattern preference, determines a time to recommend a rest stop based at least in part on the driver tiredness state, the continuous driving length preference, and the refueling pattern preference, extracts, from a map database, a plurality of rest stops within a predetermined radius of a position of the vehicle, determines rest stop characteristic preferences based at least in part on the historical data, selects one or more potential rest stops from among the plurality of rest stops based at least in part on the rest stop characteristic preferences, and presents the one or more potential rest stops to the driver in a recommendation.

    Systems and methods for providing guidance to vehicle drivers regarding predicted lane-change behavior of other vehicle drivers

    公开(公告)号:US11151880B1

    公开(公告)日:2021-10-19

    申请号:US16999332

    申请日:2020-08-21

    IPC分类号: G08G1/16 G08G1/01

    摘要: Systems and methods described herein relate to providing guidance to vehicle drivers regarding predicted lane-change behavior of other drivers. One embodiment transforms historical vehicle trajectory data into a corresponding alternative representation; applies a clustering algorithm to group a plurality of drivers into groups of similar drivers; applies Bayesian inference to train a Bayesian neural network (BNN) for the drivers in each group; adapts the BNN for each group to generate a personalized BNN for each driver in that group; identifies a particular driver on a roadway; receives information regarding the particular driver's vehicle and one or more other nearby vehicles; estimates a probability that the particular driver will change lanes using the personalized BNN for that driver; and communicates guidance regarding predicted lane-change behavior of the particular driver to at least one nearby vehicle based, at least in part, on the estimated probability that the particular driver will change lanes.