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.

    System and process for determining recurring and non-recurring road congestion to mitigate the same

    公开(公告)号:US11893882B2

    公开(公告)日:2024-02-06

    申请号:US17581528

    申请日:2022-01-21

    CPC classification number: G08G1/0112 G08G1/0129 G08G1/0133

    Abstract: A system is provided for mitigating a road network congestion. The system includes a plurality of motor vehicles positioned in associated locations in a road network. Each vehicle has one or more sensors generating an input and a Telematics Control Unit (TCU) for generating at least one location signal for a location of the associated motor vehicle and at least one event signal for an event related to the associated motor vehicle, with the location signal and the event signal corresponding to a High Speed Vehicle Telemetry Data (HSVT data) based on the input from the sensors. The system further includes a computer, which communicates with a display device and the TCUs. The computer includes a processor and a computer readable medium including instructions, such that the processor is programmed to identify the congestion and determine that the congestion is a recurring or a non-recurring congestion.

    SYSTEM AND METHOD FOR CLOUD COORDINATED VEHICLE DATA COLLECTION

    公开(公告)号:US20240004715A1

    公开(公告)日:2024-01-04

    申请号:US17852722

    申请日:2022-06-29

    CPC classification number: G06F9/5033 G07C5/0841

    Abstract: A system for cloud coordinated vehicle data collection includes an onboard vehicle data management subsystem and a remotely-located back-office subsystem. Each subsystem includes one or more control modules having a processor, a memory, and input/output (I/O) ports. The control modules execute program code portions stored in memory. A first program code portion collects vehicle data from onboard vehicle data sources. A second program code portion determines which of several distinct communications systems will be used to transmit the vehicle data to the remotely-located back-office subsystem. A third program code portion causes the remotely-located back-office subsystem to allocate data processing tasks to specific computing resources. A fourth program code portion causes the onboard vehicle data management subsystem and the remotely-located back-office subsystem to continuously adjust data processing task allocation between onboard vehicle control modules and remotely located back-office control modules by minimizing costs and honoring task deadlines and resource consumption constraints.

    Methods and systems for traffic light state monitoring and traffic light to lane assignment

    公开(公告)号:US11631325B2

    公开(公告)日:2023-04-18

    申请号:US16550808

    申请日:2019-08-26

    Abstract: Systems and methods are provided for interpreting traffic information. A method includes: receiving, by a processor, visual data from vehicles, wherein the visual data is associated with an intersection of a roadway having one or more lanes; receiving, by the processor, vehicle data from the vehicles, wherein the vehicle data is associated with the intersection of the roadway; determining, by the processor, a first state of a traffic light associated with the intersection based on the visual data; determining, by the processor, a second state of the traffic light associated with the intersection based on the vehicle data; correlating, by the processor, the first state and the second state based on a time synchronization; assigning, by the processor, the traffic light to a lane of the roadway based on the correlating; and communicating, by the processor, the traffic light to lane assignment for use in controlling a vehicle.

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