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公开(公告)号:US20250148298A1
公开(公告)日:2025-05-08
申请号:US18504834
申请日:2023-11-08
Applicant: AUTOBRAINS TECHNOLOGIES LTD.
Inventor: Julius Engelsöy , Armin Biess , Issac Misri , Joey Hendry
Abstract: A method for visualizing neurons in an Artificial Intelligence (AI) model for autonomous driving. The method includes obtaining, from a number of neurons of the AI model for a task, one or more neurons; determining, for each of the one or more neurons, a respective Region of Interest (ROI) of an input related to the task, wherein the respective ROI is encoded by the one or more neurons for the task; and producing a human-interpretable representation of the determined respective ROI of the input for at least a portion of the one or more neurons, by applying a first operation including Layer-wise Relevance Propagation (LRP).
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公开(公告)号:US20230365157A1
公开(公告)日:2023-11-16
申请号:US18355324
申请日:2023-07-19
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor: Julius Engelsöy , Armin Biess , Isaac Misri , Igal Raichelgauz
IPC: B60W60/00 , B60W40/09 , B60W50/00 , B60W30/095 , G06N3/092
CPC classification number: B60W60/001 , B60W40/09 , B60W50/0098 , B60W30/0953 , G06N3/092 , B60W2554/00
Abstract: A method for augmented driving related virtual fields, the method includes obtaining object information regarding one or more objects located within an environment of a vehicle; and determining, by a processing circuit, and based on the object information, a desired virtual acceleration of the vehicle, wherein the determining of the desired virtual acceleration of the vehicle is based on a virtual physical model that represents an impact of the one or more objects on a behavior of the vehicle, wherein the virtual physical model is built based on one or more physical laws and at least one additional driving related parameter.
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公开(公告)号:US20230356747A1
公开(公告)日:2023-11-09
申请号:US18355286
申请日:2023-07-19
Applicant: AUTOBRAINS TECHNOLOGIES LTD
Inventor: Julius Engelsöy , Armin Biess , Isaac Misri , Igal Raichelgauz
CPC classification number: B60W60/001 , B60W40/09 , G06F8/65 , G06N3/04
Abstract: A method for personalizing a driving experience, the method includes (a) obtaining a neural network (NN) that generates suggested driving patterns and represents a virtual force applied on a vehicle by one or more objects for use in applying a driving related operation of the vehicle, the virtual force is related to a virtual physical model that represents impacts of the one or more objects on a behavior of the vehicle; and (b) fine tuning at least a portion of the neural network based on one or more fine tuning parameters.
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