SYSTEM AND METHODS OF ADAPTIVE OBJECT-BASED DECISION MAKING FOR AUTONOMOUS DRIVING

    公开(公告)号:WO2023015012A1

    公开(公告)日:2023-02-09

    申请号:PCT/US2022/039642

    申请日:2022-08-05

    Applicant: CYNGN, INC.

    Inventor: MA, Biao TAL, Lior

    Abstract: A method may include obtaining input information relating to an environment in which an autonomous vehicle (AV) operates, the input information describing at least one of: a state of the AV, an operation of the AV within the environment, a property of the environment, or an object included in the environment. The method may include identifying a first object in the vicinity of the AV based on the obtained input information. The method may include determining a first object rule corresponding to the first object, the first object rule indicating suggested driving behavior for interacting with the first object. The method may include determining a first decision that follows the first object rule and sending an instruction to a control system of the AV, the instruction describing a given operation of the AV responsive to the first object rule according to the first decision.

    GRANULARITY-FLEXIBLE EXISTENCE-BASED OBJECT DETECTION

    公开(公告)号:WO2022271742A1

    公开(公告)日:2022-12-29

    申请号:PCT/US2022/034398

    申请日:2022-06-21

    Applicant: CYNGN, INC.

    Inventor: MA, Biao TAL, Lior

    Abstract: A method may include obtaining sensor data from one or more LiDAR units and determining a point-cloud corresponding to the sensor data obtained from each respective LiDAR unit. The method may include aggregating the point-clouds as an aggregated point-cloud. A number of data points included in the aggregated point-cloud may be decreased by filtering out one or more of the data points according to one or more heuristic rules to generate a reduced point-cloud. The method may include determining an operational granularity level for the reduced point-cloud. An array of existence-based objects may be generated based on the reduced point-cloud and the operational granularity level.

    CONFIGURING MACHINE LEARNING MODELS FOR TRAINING AND DEPLOYMENT USING GRAPHICAL COMPONENTS

    公开(公告)号:WO2022261259A1

    公开(公告)日:2022-12-15

    申请号:PCT/US2022/032740

    申请日:2022-06-08

    Abstract: Embodiments of the present disclosure relate to applications and platforms for configuring machine learning models for training and deployment using graphical components in a development environment. For example, systems and methods are disclosed that relate to determining one or more machine learning models and one or more processing operations corresponding to the one or more machine learning models. Further, a model component may be generated using the one or more machine learning models, the one or more processing operations, and one or more extension libraries in which the one or more extension libraries indicate one or more deployment parameters related to the one or more machine learning models. The model component may accordingly provide data that may be used to be able to use and deploy the one or more machine learning models.

    SURROGATE BINARY OPTIMIZATION
    5.
    发明申请

    公开(公告)号:WO2021222837A1

    公开(公告)日:2021-11-04

    申请号:PCT/US2021/030307

    申请日:2021-04-30

    Abstract: Operations may include identifying variables corresponding to an optimization problem, each variable having an initial value. The operations may include calculating an objective function value based on the initial value of each variable and a plurality of function value changes. Each function value change may be calculated based on a different variable value change, each variable value change corresponding to a respective change made to a different one of the variables. The operations may include selecting a subset of the variables based on the respective function value changes and corresponding variable value changes made to the respective initial values of the variables of the subset and generating a surrogate quadratic unconstrained binary optimization (QUBO) model using the subset. The operations may include determining a solution to the optimization problem including a set of solution values using the surrogate QUBO model, each of the solution values corresponding to a different variable.

    DYNAMIC CONFIGURABILITY OF WEB PAGES TO OPTIMIZE CONTENT FOR SEARCH PERFORMANCE AND USER EXPERIENCES

    公开(公告)号:WO2021056000A1

    公开(公告)日:2021-03-25

    申请号:PCT/US2020/060886

    申请日:2020-11-17

    Abstract: A processor receives one or more types of marketing data including but not limited to SEO data, site crawl and log file data, web analytics data, competitor data, paid media spend & performance data, CDP, CRM, ABM, Ecommerce, internal search, and online-to-offline data020. The received marketing data is processed by an optimization engine to calculate optimizations for URLs, pages, page components, page fragments, or websites, such types of optimizations including at least one of, removing duplicate content, optimizing tags and titles, optimizing mobile image and video media, optimizing product offers, optimizing calls to action, optimizing personalized content, optimizing marketing offers, or optimizing user experiences accessed through the use of a browser. A publisher processes the optimization into, each instruction associated with at least one of URLs, pages, page components, page fragments, or websites. The instructions are then compiled into executable code and injected into a webpage to optimize that webpage.

    FLASH MEMORY ARRAYS FOR COMPUTATION HAVING DIGITAL INPUT AND ANALOG OUTPUT

    公开(公告)号:WO2021011923A1

    公开(公告)日:2021-01-21

    申请号:PCT/US2020/042666

    申请日:2020-07-17

    Abstract: A memory system having a temperature effect compensation mechanism is provided. The memory system memory cells in an array having rows of memory cells arranged horizontally and columns arranged vertically. The memory cells have an operating temperature range. The memory system also includes a temperature-dependent biasing circuit that reduces a biasing voltage to the memory cells when the temperature of the array is at or near an upper end of the operating temperature range and increases the biasing voltage when the temperature of the array is at or near a lower end of the operating temperature range. Also provided are comparators for submicron processes, analog-to-digital converters for non-volatile memory arrays used for in-memory computation with floating bitlines, and methods and structures for programming non-volatile memory arrays with automatic programming pulse amplitude adjustment using current-limiting circuits.

    DIRECTING BOARD REPOSITIONING DURING SENSOR CALIBRATION FOR AUTONOMOUS VEHICLES

    公开(公告)号:WO2021007184A1

    公开(公告)日:2021-01-14

    申请号:PCT/US2020/040944

    申请日:2020-07-06

    Applicant: DEEPMAP INC.

    Abstract: According to an aspect of an embodiment, operations may comprise determining a target position and orientation for a calibration board with respect to a camera of a vehicle, detecting a first position and orientation of the calibration board with respect to the camera of the vehicle, determining instructions for moving the calibration board from the first position and orientation to the target position and orientation, transmitting the instructions to a device, detecting a second position and orientation of the calibration board, determining whether the second position and orientation is within a threshold of matching the target position and orientation, and, in response to determining that the second position and orientation is within the threshold of matching the target position and orientation, capturing one or more calibration camera images using the camera and calibrating one or more sensors of the vehicle using the one or more calibration camera images.

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