Method and system for validating autonomous vehicle performance using nearby traffic patterns

    公开(公告)号:US12125379B2

    公开(公告)日:2024-10-22

    申请号:US17725814

    申请日:2022-04-21

    CPC classification number: G08G1/0145 G08G1/0133 G08G1/0141

    Abstract: A method for validating an autonomous vehicle performance using nearby traffic patterns includes receiving remote vehicle data. The remote vehicle data includes at least one remote-vehicle motion parameter about a movement of a plurality of remote vehicles during a predetermined time interval. The method further includes determining a traffic pattern of the plurality of remote vehicles using the at least one remote-vehicle motion parameter. The method includes determining a similarity between the traffic pattern of the plurality of remote vehicles and movements of the host vehicle. Further, the method includes determining whether the similarity between the traffic pattern of the plurality of remote vehicles and movements of the host vehicle is less than a predetermined threshold. Also, the method includes commanding the host vehicle to adjust the movements thereof to match the traffic pattern of the plurality of remote vehicles.

    SYSTEM AND METHOD FOR REGION OF INTEREST WINDOW GENERATION FOR ATTENTION BASED PERCEPTION

    公开(公告)号:US20230027275A1

    公开(公告)日:2023-01-26

    申请号:US17382459

    申请日:2021-07-22

    Abstract: A system for an attention-based perception includes a camera device configured to provide an image of an operating environment of a vehicle. The system further includes a computerized device monitoring the image, analyzing sensor data to identify a feature in the image as corresponding to an object in the operating environment and assign a score for the feature based upon an identification, a location, or a behavior of the object. The computerized device is further operable to define candidate regions of interest upon the image, correlate the score for the feature to the candidate regions of interest to accrue a total region score, select some of the candidate regions for analysis based upon the total region scores, and analyze the portion of the candidate regions to generate a path of travel output. The system further includes a device controlling the vehicle based upon the output.

    Apparatus and method that detect wheel alignment condition

    公开(公告)号:US11487993B2

    公开(公告)日:2022-11-01

    申请号:US15960948

    申请日:2018-04-24

    Abstract: A method and apparatus that detect wheel misalignment are provided. The method includes predicting a self-aligning torque parameter based on a regression model determined from a dataset including one or more from among a steering wheel angle parameter, a speed parameter, a torsion bar torque parameter, a lateral acceleration parameter, and a power steering torque parameter, comparing a measured self-aligning torque parameter and the predicted self-aligning torque parameter, and outputting a wheel alignment condition indicating whether the wheel alignment is proper if the self-aligning torque parameter and the predicted self-aligning torque parameter are within a predetermined value based on the comparing.

    SYSTEM AND METHOD FOR VEHICLE NAVIGATION USING TERRAIN TEXT RECOGNITION

    公开(公告)号:US20210239485A1

    公开(公告)日:2021-08-05

    申请号:US16782683

    申请日:2020-02-05

    Abstract: A method of vehicle navigation using terrain text recognition includes receiving, via an electronic controller arranged on a vehicle and having access to a map of the terrain, a navigation route through the terrain. The method also includes receiving, via the controller, a signal from a global positioning system (GPS) to determine a current position of the vehicle relative to the terrain. The method additionally includes determining, via the controller, a location of a next waypoint on the navigation route and relative to the current vehicle position. The method also includes detecting and communicating to the controller, via a vehicle sensor an image frame displaying a text indicative of the next waypoint and correlating, via the controller, the detected text to the next waypoint on the map. Furthermore, the method includes setting, via the controller, an in-vehicle alert indicative of the detected text having been correlated to the next waypoint.

    INTELLIGENT VEHICLES WITH DISTRIBUTED SENSOR ARCHITECTURES AND EMBEDDED PROCESSING WITH COMPUTATION AND DATA SHARING

    公开(公告)号:US20210129842A1

    公开(公告)日:2021-05-06

    申请号:US16671727

    申请日:2019-11-01

    Abstract: Presented are embedded control systems with logic for computation and data sharing, methods for making/using such systems, and vehicles with distributed sensors and embedded processing hardware for provisioning automated driving functionality. A method for operating embedded controllers connected with distributed sensors includes receiving a first data stream from a first sensor via a first embedded controller, and storing the first data stream with a first timestamp and data lifespan via a shared data buffer in a memory device. A second data stream is received from a second sensor via a second embedded controller. A timing impact of the second data stream is calculated based on the corresponding timestamp and data lifespan. Upon determining that the timing impact does not violate a timing constraint, the first data stream is purged from memory and the second data stream is stored with a second timestamp and data lifespan in the memory device.

    ADVERSARIAL ATTACK ON BLACK BOX OBJECT DETECTION ALGORITHM

    公开(公告)号:US20200311481A1

    公开(公告)日:2020-10-01

    申请号:US16367590

    申请日:2019-03-28

    Abstract: Systems and methods to generate an adversarial attack on a black box object detection algorithm of a sensor involve obtaining an initial training data set from the black box object detection algorithm. The black box object detection algorithm performs object detection on initial input data to provide black box object detection algorithm output that provides the initial training data set. A substitute model is trained with the initial training data set such that output from the substitute model replicates the black box object detection algorithm output that makes up the initial training data set. Details of operation of the black box object detection algorithm are unknown and details of operation of the substitute model are known. The substitute model is used to perform the adversarial attack. The adversarial attack refers to identifying adversarial input data for which the black box object detection algorithm will fail to perform accurate detection.

    METHOD AND APPARATUS FOR A NEURAL NETWORK
    48.
    发明申请

    公开(公告)号:US20200160125A1

    公开(公告)日:2020-05-21

    申请号:US16193303

    申请日:2018-11-16

    Abstract: A signal processing system includes a central processing unit (CPU) in communication with an accelerator, and an instruction scheduler in communication with the accelerator. A first memory device including a first instruction set is configured to operate the accelerator, a second instruction set is configured to operate the CPU, and a second memory device is configured to receive a datafile. The accelerator includes a plurality of processing engines (PEs) and an instruction scheduler, the instruction set includes a plurality of operators, and the instruction scheduler is configured to implement the operators in the accelerator employing the PEs. The CPU employs the operators implemented in the accelerator to analyze the datafile to extract a feature therefrom.

    CONTROL SYSTEMS, CONTROL METHODS AND CONTROLLERS FOR AN AUTONOMOUS VEHICLE

    公开(公告)号:US20190361456A1

    公开(公告)日:2019-11-28

    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

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