SMART JACK FOR LIFTING
    1.
    发明申请

    公开(公告)号:US20170113908A1

    公开(公告)日:2017-04-27

    申请号:US14922913

    申请日:2015-10-26

    CPC classification number: B66F17/00 B66F3/12

    Abstract: Various systems and methods for using a smart jack are described herein. A smart jack device may comprises a lifting mechanism; at least one of: a position sensor or a motion sensor; a processor subsystem; and a memory including instructions, which when executed by the processor subsystem, cause the processor subsystem to: access sensor data from at least one of: the position sensor or the motion sensor, the sensor data indicative of a state of the smart jack device; and cause the presentation of an indication of the state of the smart jack device.

    Methods and apparatus to collect and analyze rating information

    公开(公告)号:US11308510B2

    公开(公告)日:2022-04-19

    申请号:US16147133

    申请日:2018-09-28

    Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to collect and analyze driver rating information. An example apparatus includes at least one of an audio input device or a video input device to collect at least one of audio or video; a rating input device to receive a rating associated with a person; a first rating analyzer to analyze the at least one of the audio or the video to determine demographic information for the person; and a second rating analyzer to: analyze the demographic information, the rating, and historical rating information to detect a demographic trend in the rating information; and output an indication of the trend.

    Personal safety system
    3.
    发明授权

    公开(公告)号:US10349227B2

    公开(公告)日:2019-07-09

    申请号:US14929952

    申请日:2015-11-02

    Abstract: Various systems and methods for a personal safety system are described herein. A personal safety system includes an alert detection module to receive, at a device, input indicating an alert event; and a communication module to: transmit information regarding the alert event to a cloud service; and broadcast wireless network information of a wireless environment around the device, obtained by the device, to a plurality of devices in the wireless environment.

    COMPUTER-ASSISTED OR AUTONOMOUS DRIVING VEHICLE INCIDENT MANAGEMENT METHOD AND APPARATUS

    公开(公告)号:US20190049969A1

    公开(公告)日:2019-02-14

    申请号:US16118206

    申请日:2018-08-30

    Abstract: Apparatuses, methods and storage medium associated with computer-assisted or autonomous vehicle incident management, are disclosed herein. In some embodiments, a vehicle incident management system includes a main system controller to determine whether a vehicle hosting the apparatus is involved in a vehicle incident; if so, whether another vehicle is involved; and if so, whether the other vehicle is equipped to exchange incident information; and an inter-vehicle communication subsystem to exchange incident information with the other vehicle, on determination that the vehicle is involved in a vehicle incident involving the other vehicle, and the other vehicle is equipped to exchange incident information. Other embodiments are also described and claimed.

    Augmenting autonomous driving with remote viewer recommendation

    公开(公告)号:US11561540B2

    公开(公告)日:2023-01-24

    申请号:US16286245

    申请日:2019-02-26

    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.

    AUGMENTING AUTONOMOUS DRIVING WITH REMOTE VIEWER RECOMMENDATION

    公开(公告)号:US20190196471A1

    公开(公告)日:2019-06-27

    申请号:US16286245

    申请日:2019-02-26

    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.

    Evaluating risk factors of proposed vehicle maneuvers using external and internal data

    公开(公告)号:US11584368B2

    公开(公告)日:2023-02-21

    申请号:US16139805

    申请日:2018-09-24

    Abstract: Apparatuses and methods for evaluating the risk factors of a proposed vehicle maneuver using remote data are disclosed. In embodiments, a computer-assisted/autonomous driving vehicle communicates with one or more remote data sources to obtain remote sensor data, and process such remote sensor data to determine the risk of a proposed vehicle maneuver. A remote data source may be authenticated and validated, such as by correlation with other remote data sources and/or local sensor data. Correlation may include performing object recognition upon the remote data sources and local sensor data. Risk evaluation is performed on the validated data, and the results of the risk evaluation presented to a vehicle operator or to an autonomous vehicle navigation system.

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