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    AUGMENTING AUTONOMOUS DRIVING WITH REMOTE VIEWER RECOMMENDATION
    123.
    发明公开
    AUGMENTING AUTONOMOUS DRIVING WITH REMOTE VIEWER RECOMMENDATION 审中-公开

    公开(公告)号：US20230315093A1

    公开(公告)日：2023-10-05

    申请号：US18077752

    申请日：2022-12-08

    Applicant: Mobileye Vision Technologies Ltd.

    Inventor： Robert Vaughn ,  Casey Baron

    IPC: G05D1/00 ,  G06N3/08 ,  G05D1/02 ,  G06N3/04 ,  B60W40/02

    CPC classification number: G05D1/0088 ,  B60W40/02 ,  G05D1/0033 ,  G05D1/0038 ,  G05D1/0214 ,  G05D1/0221 ,  G06N3/04 ,  G06N3/08 ,  G05D2201/0213

    Abstract: Autonomous vehicles are an exciting prospect to the future of driving. However, concerns about the decision-making made by the Al controlling a vehicle has been of concern, particularly in light of high-profile accidents. We can alleviate some concern, introduce better decisions, and also train an Al to make better decisions by introducing a remote viewer’s, e.g., a human’s, reaction to a possibly complex environment surrounding a vehicle that includes a potential threat to the vehicle. One or more remote viewer may provide a recommended response to the threat that may be incorporated in whole or in part in how the vehicle reacts. Various ways to engage and utilize remote viewers are proposed to improve the likelihood of receiving useful recommendations, including modifying how the environment is presented to a remote viewer to best suit the remote viewer, e.g., perhaps present the threat in a game.

    System and method for detecting severe road events
    126.
    发明授权
    System and method for detecting severe road events 有权

    公开(公告)号：US11776406B2

    公开(公告)日：2023-10-03

    申请号：US16830991

    申请日：2020-03-26

    Applicant: GM Cruise Holdings LLC

    Inventor： Erik Nielsen ,  Chase Kaufman

    IPC: G05D1/00 ,  G08G1/16 ,  G05D1/02

    CPC classification number: G08G1/164 ,  G05D1/0088 ,  G05D1/0285 ,  G05D1/0291 ,  G05D2201/0213

    Abstract: The present technology is effective to cause at least one processor to collect sensor data from at least one sensor on an autonomous vehicle, wherein the sensor data includes a plurality of measurements from the at least one sensor, identify, from the sensor data, at least one measurement from the plurality of measurements that is outside a threshold measurement for the at least one sensor and is indicative of an impact incident, send the sensor data to a remote computing system, and receive, in response to the sending of the sensor data that is indicative of the impact incident, routing instructions from the remote computing system.

    Road condition deep learning model
    128.
    发明授权
    Road condition deep learning model 有权

    公开(公告)号：US11775870B2

    公开(公告)日：2023-10-03

    申请号：US17978287

    申请日：2022-11-01

    Applicant: WAYMO LLC

    Inventor： Xin Zhou ,  Roshni Cooper ,  Michael James

    IPC: B60W40/06 ,  G06N20/00 ,  B60W60/00 ,  G05D1/02 ,  G06N3/08

    CPC classification number: G06N20/00 ,  B60W40/06 ,  B60W60/0015 ,  G05D1/0231 ,  G05D1/0255 ,  G05D1/0257 ,  G06N3/08 ,  B60W2420/42 ,  B60W2420/52 ,  B60W2420/54 ,  B60W2555/20 ,  G05D2201/0213

    Abstract: The technology relates to using on-board sensor data, off-board information and a deep learning model to classify road wetness and/or to perform a regression analysis on road wetness based on a set of input information. Such information includes on-board and/or off-board signals obtained from one or more sources including on-board perception sensors, other on-board modules, external weather measurement, external weather services, etc. The ground truth includes measurements of water film thickness and/or ice coverage on road surfaces. The ground truth, on-board and off-board signals are used to build the model. The constructed model can be deployed in autonomous vehicles for classifying/regressing the road wetness with on-board and/or off-board signals as the input, without referring to the ground truth. The model can be applied in a variety of ways to enhance autonomous vehicle operation, for instance by altering current driving actions, modifying planned routes or trajectories, activating on-board cleaning systems, etc.

    Storage device, movement assistance system, and movement assistance method
    130.
    发明授权
    Storage device, movement assistance system, and movement assistance method 有权

    公开(公告)号：US11774973B2

    公开(公告)日：2023-10-03

    申请号：US16822887

    申请日：2020-03-18

    Applicant: KAWASAKI MOTORS, LTD.

    Inventor： Yoshimoto Matsuda

    IPC: G05D1/02 ,  G05D1/10 ,  B60P3/11 ,  B64C39/02 ,  G01C21/20

    CPC classification number: G05D1/0214 ,  B60P3/11 ,  B64C39/024 ,  G01C21/20 ,  G05D1/106 ,  B64U2201/10 ,  G05D2201/0213

    Abstract: Provided is a storage device storing a movement assistance program, the program being configured to cause a computer to implement the functions of: a terrain information acquisition instruction section that instructs a terrain information acquisition device mounted on a flying machine to acquire terrain information representing a terrain lying between a present location of a ground-moving machine and a destination; a zone classification section that makes a classification based on a predetermined movement permission condition and the terrain information to divide the terrain lying between the present location and the destination into a movement-permitted zone and a movement-prohibited zone; and an output section that outputs at least one selected from a movement route of the ground-moving machine, the movement-permitted zone, and the movement-prohibited zone, the movement route leading from the present location to the destination without passing through the movement-prohibited zone.

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