Vehicle rear lower fascia
    81.
    外观设计

    公开(公告)号:USD1042260S1

    公开(公告)日:2024-09-17

    申请号:US29883705

    申请日:2023-02-02

    摘要: FIG. 1 is a front and left side perspective view of a vehicle rear lower fascia showing my new design;
    FIG. 2 is a front elevation view of the vehicle rear lower fascia of FIG. 1;
    FIG. 3 is a left side elevation view thereof;
    FIG. 4 is a right side elevation view thereof;
    FIG. 5 is a back elevation view thereof;
    FIG. 6 is a top plan view thereof; and,
    FIG. 7 is a bottom plan view thereof.
    The broken lines in the drawings depict portions of the vehicle rear lower fascia that form no part of the claimed design.

    IDENTIFYING AND QUANTIFYING CONGESTION WITHIN A TRAFFIC STREAM

    公开(公告)号:US20240304083A1

    公开(公告)日:2024-09-12

    申请号:US18179681

    申请日:2023-03-07

    IPC分类号: G08G1/01 G08G1/0967

    摘要: A system and method of identifying and quantifying congestion within a traffic stream including obtaining telemetric data from a plurality of vehicles traveling within a plurality of normalized road segments, determining a property of each normalized road segment based on the telemetric data and a road profile for each road segment, determining a disruption score indicative of a level of disruption in a traffic flow within each road segment, mapping the road segments within a two-dimensional spatial-temporal grid of cells, wherein each cell represents a normalized road segment at a specified time, for each cell, determining if the traffic flow is congested, identifying a congested traffic stream including a plurality of contiguous cells that have congested traffic flow, quantifying the congested traffic stream, and providing an output signal.

    VEHICLE WITH POLARIMETRIC IMAGE NORMALIZATION LOGIC

    公开(公告)号:US20240300517A1

    公开(公告)日:2024-09-12

    申请号:US18178733

    申请日:2023-03-06

    IPC分类号: B60W60/00 G06T7/70 H04N23/54

    摘要: A system for a host vehicle operating on a road surface includes a polarimetric camera, a global positioning system (“GPS”) receiver, a compass, and an electronic control unit (“ECU”). The camera collects polarimetric image data of a drive scene, including a potential driving path on the road surface. The ECU receives the polarimetric image data, estimates the Sun location using the GPS receiver and compass, and computes an ideal representation of the road surface using the Sun location. The ECU normalizes the polarimetric image data such that the road surface has a normalized representation in the drive scene, i.e., an angle of linear polarization (“AoLP”) and degree of linear polarization (“DoLP”) equal predetermined fixed values. The ECU executes a control action using the normalized representation.

    Vehicle rear bumper bar
    89.
    外观设计

    公开(公告)号:USD1040709S1

    公开(公告)日:2024-09-03

    申请号:US29835584

    申请日:2022-04-20

    摘要: FIG. 1 is a front and left side perspective view of a vehicle rear bumper bar showing my new design;
    FIG. 2 is a front elevation view of the vehicle rear bumper bar of FIG. 1;
    FIG. 3 is a left side elevation view thereof;
    FIG. 4 is a right side elevation view thereof;
    FIG. 5 is a back elevation view thereof;
    FIG. 6 is a top plan view thereof; and,
    FIG. 7 is a bottom plan view thereof.
    The broken lines in the drawings depict portions of the vehicle rear bumper bar that form no part of the claimed design.

    Solar-load prediction for vehicular cabin thermal actuator control

    公开(公告)号:US12078500B2

    公开(公告)日:2024-09-03

    申请号:US17701782

    申请日:2022-03-23

    IPC分类号: G01C21/00 B60W40/08 G01C21/34

    摘要: A solar loading-based system includes a memory, a disturbance prediction module, a cabin temperature estimation module and a thermal control module. The memory stores a cabin thermal load model of an interior cabin of a host vehicle and a solar load prediction model. The disturbance prediction module: receives signals indicative of states of cabin thermal actuators and comfort metrics; and predicts an effect of solar loading over a known portion of a predicted route including predicting cabin temperatures based on the solar load prediction model, the states of the cabin thermal actuators, and the comfort metrics. The cabin temperature estimation module, based on the cabin thermal load model, determines a first comfort metric based on the predicted cabin temperatures. The thermal control module controls cabin thermal actuators to adjust cabin states, including the first comfort metric, to respective target values based on the predicted effect of solar loading.