LANE LINE MAP CONSTRUCTION USING PROBABILITY DENSITY BITMAPS

    公开(公告)号:US20240068836A1

    公开(公告)日:2024-02-29

    申请号:US17821898

    申请日:2022-08-24

    CPC classification number: G01C21/3822 G01C21/3841 G01C21/3878

    Abstract: A method includes receiving sensor data from a plurality of sensors of a plurality of vehicles. The sensor data includes vehicle GPS data and sensed lane line data of the roadway. The method further includes creating a plurality of multi-layer bitmaps for each of the plurality of vehicles using the sensor data, fusing the plurality of the multi-layer bitmaps of each of the plurality of vehicles to create a fused multi-layer bitmap, creating a plurality of multi-layer probability density bitmaps using the fused multi-layer bitmap, extracting lane line data from the plurality of multi-layer probability density bitmaps, and creating the high-definition (HD) map of the roadway using the multi-layer probability density bitmaps and the lane line data extracted from the plurality of multi-layer probability density bitmaps.

    Global positioning system bias detection and reduction

    公开(公告)号:US12270918B2

    公开(公告)日:2025-04-08

    申请号:US17933895

    申请日:2022-09-21

    Abstract: A global positioning system (GPS)-bias detection and reduction system including a GPS-bias model having GPS statistical data creating a database representing data collected from a vehicle group having thousands or multiple thousands of vehicles saved in a database. At least one newly collected vehicle GPS data point is compared to the GPS statistical data to reduce negative effects of GPS-bias and to update the vehicle GPS-bias correction based on a previous GPS-bias model. A selected road node and a segment of a roadway have a map matching performed using a nearest service from a collection location of the GPS statistical data. A GPS-bias is calculated using a look-up of the database. An estimated horizontal position error (EHPE) defining a quality indicator is applied to distinguish a good quality GPS statistical data from a poor quality GPS statistical data.

    SYSTEM AND METHOD OF REDUCING GPS NOISE AND CORRECTING VEHICLE GPS TRAJECTORY FOR A HIGH-DEFINITION MAP

    公开(公告)号:US20240125616A1

    公开(公告)日:2024-04-18

    申请号:US18045306

    申请日:2022-10-10

    CPC classification number: G01C21/3819 G01C21/387 G01C21/3889

    Abstract: A method of correcting a GPS vehicle trajectory of a vehicle on a roadway for a high-definition map is provided. The method comprises receiving first bitmap data from a first sensor of a first vehicle to create a plurality of first multi-layer bitmaps for the first vehicle using the first bitmap data and receiving second bitmap data from a plurality of second sensors of a plurality of second vehicles to create a plurality of second multi-layer bitmaps. The method further comprises creating first probability density bitmaps and an overall probability density bitmap with a probability density estimation, and matching an image template from each of the first probability density bitmaps with the overall probability density bitmap to define match results. The method further comprises combining the match results to define combined utility values and determining the maximal utility value with the combined utility values.

    Predictive Wi-Fi data offloading systems and methods

    公开(公告)号:US11737004B2

    公开(公告)日:2023-08-22

    申请号:US17332806

    申请日:2021-05-27

    CPC classification number: H04W36/32 H04W48/16 H04W48/20 H04W84/12

    Abstract: Systems and method are provided for transmitting data from a vehicle using a Wi-Fi network. A method includes: collecting, by a processor, performance data associated with a plurality of access points in the Wi-Fi network; segmenting, by a processor, a route into a plurality of route segments; mapping, by a processor, the plurality of access points to the plurality of route segments; selecting, by a processor, a set of access points from the plurality of access points based on the collected performance data, wherein the set of access points comprises a selected access point for each route segment of the plurality of route segments; predicting, by a processor, a scanning channel based on the set of access points and a current location of the vehicle; and selectively transmitting, by a processor, packet data based on the set of access points, the scanning channel, and the associated performance data.

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