Apparatus and method that detect wheel alignment condition

    公开(公告)号:US10685506B2

    公开(公告)日:2020-06-16

    申请号:US15960781

    申请日:2018-04-24

    Abstract: An apparatus and method that detect a wheel alignment condition are provided. The method includes receiving a dataset comprising one or more from among a steering wheel angle parameter, a speed parameter, a lateral acceleration parameter, a self-aligning torque parameter and a power steering torque parameter, normalizing the received dataset, analyzing the normalized dataset according to a model for determining a wheel alignment condition, and outputting a value indicating whether the wheel alignment is within a predetermined value based on the model.

    Control systems, control methods and controllers for an autonomous vehicle

    公开(公告)号:US10678253B2

    公开(公告)日:2020-06-09

    申请号:US15988658

    申请日:2018-05-24

    Abstract: Systems and methods are provided for controlling an autonomous vehicle (AV). A map generator module processes sensor data to generate a world representation of a particular driving scenario (PDS). A scene understanding module (SUM) processes navigation route data, position information and a feature map to define an autonomous driving task (ADT), and decomposes the ADT into a sequence of sub-tasks. The SUM selects a particular combination of sensorimotor primitive modules (SPMs) to be enabled and executed for the PDS. Each one of the SPMs addresses a sub-task in the sequence. A primitive processor module executes the particular combination of the SPMs such that each generates a vehicle trajectory and speed (VTS) profile. A selected one of the VTS profiles is then processed to generate the control signals, which are then processed at a low-level controller to generate commands that control one or more of actuators of the AV.

    AUTO-CALIBRATION FOR VEHICLE CAMERAS
    33.
    发明申请

    公开(公告)号:US20200027241A1

    公开(公告)日:2020-01-23

    申请号:US16039640

    申请日:2018-07-19

    Abstract: In various embodiments, methods, systems, and vehicles are provided for calibrating vehicle cameras. In certain embodiments, a vehicle includes a camera, a memory, and a processor. The camera is disposed onboard the vehicle, and is configured to generate a camera image in which an object is detected onboard the vehicle. The memory is configured to store map data relating to the detected object. The processor is disposed onboard the vehicle, and is configured to perform an initial projection using the map data and initial values of calibration parameters for the camera; and update values of the calibration parameters using a comparison of the initial projection with the camera image.

    METHOD AND SYSTEM FOR DETERMINING AN OBJECT LOCATION BY USING MAP INFORMATION

    公开(公告)号:US20190354781A1

    公开(公告)日:2019-11-21

    申请号:US15982186

    申请日:2018-05-17

    Abstract: A system and method for determining an object location by using map information is disclosed. The method includes receiving, by a controller, an image data of a scene. An object is located within the scene. The method also includes determining, by the controller, a location of the object based on the image data of the scene. The method can also include receiving, by the controller, a map information. The map information includes at least one path information. The method also includes determining an association between the location of the object based on the image data and the map information of the scene. The method also includes determining a 3-dimensional location of the object based on the determined association.

    AUTONOMOUS VEHICLE ADAPTIVE PARALLEL IMAGE PROCESSING SYSTEM

    公开(公告)号:US20190171895A1

    公开(公告)日:2019-06-06

    申请号:US15833382

    申请日:2017-12-06

    Abstract: An adaptive parallel imaging processing system in a vehicle is provided. The system may include, but is not limited to, a plurality of processors and a resource management system including, but not limited to, an execution monitor, the execution monitor configured to calculate an average utilization of each of the plurality of processors over a moving window, and a service scheduler controlling a request queue for each of the plurality of processors, the service scheduler scheduling image processing tasks in the respective request queue for the each of the plurality of processors based upon the average utilization of each of the plurality of processors, the capabilities of each of the plurality of processors, and a priority associated with each image processing task, wherein an autonomous vehicle control system is configured to generate the instructions to control the at least one vehicle system based upon the processed image processing tasks

    Computationally efficient unsupervised DNN pretraining

    公开(公告)号:US12175732B2

    公开(公告)日:2024-12-24

    申请号:US17817704

    申请日:2022-08-05

    Abstract: A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to determine a pairwise region of interest feature similarity based on features extracted from a first cropped image portion and corresponding point cloud data and features extracted from a second cropped image portion and corresponding point cloud data. The processor is also programmed to determine a loss using a loss function based on the pairwise region of interest feature similarity, wherein the loss function corresponds to at least one a first deep neural network or a second deep neural network. The processor is also programmed to update at least one weight of the at least one of the first deep neural network or the second deep neural network based on the loss.

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