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    Auxiliary Visualization Network
    102.
    发明公开
    Auxiliary Visualization Network 审中-公开

    公开(公告)号：US20240062050A1

    公开(公告)日：2024-02-22

    申请号：US18497969

    申请日：2023-10-30

    Applicant: AUTOBRAINS TECHNOLOGIES LTD

    Inventor： Julius Engelsoy ,  Armin Biess ,  Isaac Misri ,  Joey Hendry

    IPC: G06N3/0475 ,  G06T11/00

    CPC classification number: G06N3/0475 ,  G06T11/00

    Abstract: A method for explainable representation, the method includes: (a) receiving, by an auxiliary representation network, information regarding an environment of a vehicle; the information being destined to be processed by a policy model, to provide driving related decisions at a current point of time; and (b) generating, by the auxiliary representation network, an interpretable representation of predicted outcomes of the policy model during a period of time that ends after the current point of time.

    PRECEPTION BASED DRIVING
    103.
    发明公开
    PRECEPTION BASED DRIVING 审中-公开

    公开(公告)号：US20240010229A1

    公开(公告)日：2024-01-11

    申请号：US18459414

    申请日：2023-08-31

    Applicant: AUTOBRAINS TECHNOLOGIES LTD

    Inventor： Igal Raichelgauz

    IPC: B60W60/00 ,  B60W40/10

    CPC classification number: B60W60/001 ,  B60W40/10 ,  B60W2554/20 ,  B60W2555/20

    Abstract: A method for operation of narrow artificial intelligence (AI) agents for at least partially autonomous driving, the method includes: (a) receiving, by multiple perception modules, multi-domain information about elements affecting a vehicle; wherein each one of the multiple perception module is associated with a dedicated domain of the multi-domain information; (b) generating, by the multiple perception modules, class signatures that are indicative of classes of the elements of the multi-domain information; (c) determining a multi-domain identifier that identifies the generated class signatures of the multiple perception modules; and (d) identifying, based on the multi-domain identifier, one or more narrow AI agents that are relevant to a processing of at least a part of the multi-domain information. The identifying triggering execution of further processing the at least a part of the multi-domain information by the identified one or more narrow AI agents to provide one or more narrow AI driving related decision.

    PASSIVE READOUT
    104.
    发明公开
    PASSIVE READOUT 审中-公开

    公开(公告)号：US20240005152A1

    公开(公告)日：2024-01-04

    申请号：US18327865

    申请日：2023-06-01

    Applicant: AUTOBRAINS TECHNOLOGIES LTD

    Inventor： Igal Raichelgauz ,  Nitzan DAHAN ,  Lior BLECH

    IPC: G06N3/08

    CPC classification number: G06N3/08

    Abstract: A method for passive readout, the method may include (i) obtaining a group of descriptors that were outputted by of one or more neural network layers; wherein descriptors of the group of descriptors comprise a first number (N1) of descriptor elements; and (ii) generating a lossless and sparse representation of the group of descriptors. The generating may include (a) applying a dimension expanding convolution operation on the group of descriptors to provide a group of expanded descriptors; wherein expanded descriptors of the group of expanded descriptors comprises a second number (N2) of expanded descriptor elements, wherein N2 exceeds N1; and (b) quantizing the group of expanded descriptors to provide a group of binary descriptors that form a lossless and a sparse representation of the group of descriptors.

    PRECEPTION AND PREDICTION BASED DRIVING
    105.
    发明公开
    PRECEPTION AND PREDICTION BASED DRIVING 审中-公开

    公开(公告)号：US20230406347A1

    公开(公告)日：2023-12-21

    申请号：US18459416

    申请日：2023-08-31

    Applicant: AUTOBRAINS TECHNOLOGIES LTD

    Inventor： Igal Raichelgauz

    IPC: B60W60/00

    CPC classification number: B60W60/001 ,  B60W2554/4044 ,  B60W2510/0638

    Abstract: A method for managing a group of narrow artificial intelligence (AI) agents for at least partially autonomous driving, the method includes (i) obtaining, by a prediction circuit, a stream of metadata segments generated at multiple points in time and associated with a selection of one or more sub-groups of the group of narrow AI agents; wherein the metadata segments are selected out of (a) selected narrow AI agent identifiers, and (b) multiple multi-domain identifier, the multiple multi-domain identifier are indicative of multiple instances of multi-domain information about elements affecting a vehicle in relation to the multiple points in time; wherein a multi-domain identifier generated at a given point of time of the multiple points in time is a combination of class signatures that are indicative of classes of elements of a multi-domain information associated with the given point in time; (ii) finding, by the prediction circuit, a segment of the stream that is a predictor to a receiving of a next cluster identifier at a future point in time; and (iii) automatically predicting, when finding the predictor, at least one of: (c) future metadata segments to be received during the future point of time, or (d) a future sub-group of narrow AI agents to be selected at the future point of time.

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