MANAGING SELF-DRIVING BEHAVIOR OF AUTONOMOUS OR SEMI-AUTONOMOUS VEHICLE BASED UPON ACTUAL DRIVING BEHAVIOR OF DRIVER

    公开(公告)号:US20220315014A1

    公开(公告)日:2022-10-06

    申请号:US17848232

    申请日:2022-06-23

    Abstract: A system and method for measuring a driver's actual driving behaviors (e.g., acceleration, deceleration) in a manual driving mode to determine their preferred driving style, and then causing an autonomous or semi-autonomous vehicle to operate itself, within limits, in accordance with the drivers' driving style when operating in a self-driving mode, thereby providing a more familiar and comfortable driving experience for the driver. Data is collected on the actual driving behavior, any pre-existing data is accessed on the actual driving behavior, and the collected data and the pre-existing data are combined. A custom control is then created based upon the combined data, and the custom control is applied to manage the self-driving behavior of the autonomous or semi-autonomous vehicle in a self-driving mode. Additional data continues to be collected on the actual driving behavior, and the custom control is adjusted based upon the collected additional data.

    Managing self-driving behavior of autonomous or semi-autonomous vehicle based upon actual driving behavior of driver

    公开(公告)号:US10077056B1

    公开(公告)日:2018-09-18

    申请号:US14978701

    申请日:2015-12-22

    CPC classification number: B60W40/09 G05D1/0088 G06Q40/08

    Abstract: A system and method for measuring a driver's actual driving behaviors (e.g., acceleration, deceleration) in a manual driving mode to determine their preferred driving style, and then causing an autonomous or semi-autonomous vehicle to operate itself, within limits, in accordance with the drivers' driving style when operating in a self-driving mode, thereby providing a more familiar and comfortable driving experience for the driver. Data is collected on the actual driving behavior, any pre-existing data is accessed on the actual driving behavior, and the collected data and the pre-existing data are combined. A custom control is then created based upon the combined data, and the custom control is applied to manage the self-driving behavior of the autonomous or semi-autonomous vehicle in a self-driving mode. Additional data continues to be collected on the actual driving behavior, and the custom control is adjusted based upon the collected additional data.

    SYSTEMS AND METHODS TO ASSESS THE CONDITION OF A PROPERTY
    7.
    发明申请
    SYSTEMS AND METHODS TO ASSESS THE CONDITION OF A PROPERTY 审中-公开
    评估物业条件的系统和方法

    公开(公告)号:US20150100508A1

    公开(公告)日:2015-04-09

    申请号:US14047279

    申请日:2013-10-07

    CPC classification number: G06Q50/16 G06Q10/06

    Abstract: A method for reporting property ownership information includes receiving an enrollment from a customer and retrieving existing condition data corresponding to the property from a condition database. Further, the method includes gathering additional condition data corresponding to the property and analyzing the existing condition data and the additional condition data to establish a property condition trend. Subsequently, a property ownership report is generated and communicated to a remote computing device for presentation to a customer.

    Abstract translation: 用于报告财产所有权信息的方法包括从客户接收注册并从条件数据库检索对应于该属性的现有条件数据。 此外,该方法包括收集对应于该属性的附加条件数据并分析现有条件数据和附加条件数据以建立属性条件趋势。 随后,生成财产所有权报告并将其传达给远程计算设备以呈现给客户。

    Managing self-driving behavior of autonomous or semi-autonomous vehicle based upon actual driving behavior of driver

    公开(公告)号:US11623649B2

    公开(公告)日:2023-04-11

    申请号:US17848232

    申请日:2022-06-23

    Abstract: A system and method for measuring a driver's actual driving behaviors (e.g., acceleration, deceleration) in a manual driving mode to determine their preferred driving style, and then causing an autonomous or semi-autonomous vehicle to operate itself, within limits, in accordance with the drivers' driving style when operating in a self-driving mode, thereby providing a more familiar and comfortable driving experience for the driver. Data is collected on the actual driving behavior, any pre-existing data is accessed on the actual driving behavior, and the collected data and the pre-existing data are combined. A custom control is then created based upon the combined data, and the custom control is applied to manage the self-driving behavior of the autonomous or semi-autonomous vehicle in a self-driving mode. Additional data continues to be collected on the actual driving behavior, and the custom control is adjusted based upon the collected additional data.

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