SYSTEM AND PROCESS FOR DETERMINING RECURRING AND NON-RECURRING ROAD CONGESTION TO MITIGATE THE SAME

    公开(公告)号:US20230222897A1

    公开(公告)日:2023-07-13

    申请号:US17581528

    申请日:2022-01-21

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

    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.

    CALIBRATION PIPELINE FOR ESTIMATING SIX DEGREES OF FREEDOM (6DOF) ALIGNMENT PARAMETERS FOR AN AUTONOMOUS VEHICLE

    公开(公告)号:US20230126100A1

    公开(公告)日:2023-04-27

    申请号:US17511959

    申请日:2021-10-27

    Abstract: A calibration pipeline for 6DoF alignment parameters for an autonomous vehicle includes an automated driving controller instructed to receive inertial measurement unit (IMU) poses and final radar poses and determine smoothened IMU poses from the IMU poses and smoothened final radar poses from the final radar poses. The automated driving controller aligns the smoothened IMU poses and the smoothened final radar poses with one another to create a plurality of radar-IMU A, B relative pose pairs. The automated riving controller determines a solution yielding a threshold number of inliers of further filtered radar-IMU A, B relative pose pairs, randomly samples the further filtered radar-IMU A, B relative pose pairs with replacements several times to determine a stream of filtered radar-IMU A, B relative pose pairs, and solves for a solution X for the stream of filtered radar-IMU A, B relative pose pairs.

    TRAILER-CONSIDERATE ROUTE RECOMMENDATIONS

    公开(公告)号:US20220034673A1

    公开(公告)日:2022-02-03

    申请号:US16983505

    申请日:2020-08-03

    Abstract: A system and method to provide a trailer-considerate route recommendation involve obtaining logged information from vehicles, the logged information from each of the vehicles corresponding with a location of the vehicle, a time, a type of the vehicle, and a type of trailer pulled by the vehicle. A method includes obtaining potential routes under consideration for an on-going navigation by a trailering vehicle towing a towed trailer and obtaining road characteristics for the potential routes. A risk score is computed for each of the potential routes, the risk score being a weighted sum of risk factors. Each of the risk factors results from quantifying the logged information or the road characteristics. The trailer-considerate route recommendation is provided based on the risk score associated with each of the potential routes to affect the on-going navigation by the trailering vehicle.

    System and method for correcting high-definition map images

    公开(公告)号:US11143514B2

    公开(公告)日:2021-10-12

    申请号:US16249969

    申请日:2019-01-17

    Abstract: A system for correcting HD map images is provided. The system is configured to: receive, from a plurality of vehicles, ground view image data of a map anomaly hotspot captured by the vehicles; convert the ground view image data to bird view image data using homography; remove outliers from the bird view image data; apply an error reduction algorithm; stitch together a sequence of consecutive images from the image data after error reduction to produce a high-definition image, wherein each of the consecutive images has been generated through converting ground view image data to bird view image data using homography, removing outliers from the bird view image data, and applying an error reduction algorithm; compare the stitched sequence of consecutive images to a high-definition image of the hotspot to determine revisions to the high-definition image; and provide revised high-definition image data for use in navigating near the map anomaly hotspot.

    Method and apparatus of allocating automotive computing tasks to networked devices with heterogeneous capabilities

    公开(公告)号:US10956211B2

    公开(公告)日:2021-03-23

    申请号:US16283944

    申请日:2019-02-25

    Abstract: A task allocation system for dynamically allocating computing tasks to networked computing resources with heterogeneous capabilities includes: a task library having a plurality of tasks, each task being one of a plurality of different implementations of an application, wherein the different implementations of an application provide different levels of accuracy and resource usage during execution, wherein the different implementations are configured based on a trade-off between level of accuracy and resource usage during execution; and a real-time scheduler module configured to monitor available computing resources and connectivity to the computing resources, receive a plurality of task requests, prioritize applications to be executed when performing the tasks wherein more critical applications are assigned a higher priority, allocate computing resources to the higher priority applications, allocate remaining computing resources to other applications, and select specific implementations of applications for assignment to specific computing resources in a way that maximizes an overall utility.

Patent Agency Ranking