AUGMENTING AUTONOMOUS DRIVING WITH REMOTE VIEWER RECOMMENDATION

    公开(公告)号:US20230315093A1

    公开(公告)日:2023-10-05

    申请号:US18077752

    申请日:2022-12-08

    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.

    Augmenting autonomous driving with remote viewer recommendation

    公开(公告)号:US11899457B1

    公开(公告)日:2024-02-13

    申请号:US18077752

    申请日:2022-12-08

    Abstract: Autonomous vehicles are an exciting prospect to the future of driving. However, concerns about the decision-making made by the AI 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 AI 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.

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