System for Occlusion Adjustment for In-Vehicle Augmented Reality Systems

    公开(公告)号:US20190171287A1

    公开(公告)日:2019-06-06

    申请号:US16271762

    申请日:2019-02-08

    Abstract: The disclosure includes embodiments for providing occlusion adjustment for an in-vehicle augmented reality system. A system may include a three-dimensional heads-up display unit (“3D HUD”) installed in a vehicle. The system may include a memory storing instructions that, when executed, cause the system to: display, on the 3D HUD, a first graphic that is viewable by a driver of the vehicle as overlaying the interested object when the driver is looking at the 3D HUD; determine that at least a portion of the interested object is occluded by an occluding object; turn off the first graphic so that the first graphic is not displayed on the 3D HUD; and display, on the 3D HUD, a second graphic that does not overlay the occluding object and visually indicates to the driver the location of the interested object behind the occluding object when the driver is looking at the 3D HUD.

    Situational understanding of unknown roadway conditions that are ahead for a connected vehicle

    公开(公告)号:US10049571B2

    公开(公告)日:2018-08-14

    申请号:US15196593

    申请日:2016-06-29

    Abstract: The disclosure includes implementations for executing one or more computations for a vehicle. Some implementations of a method for a vehicle may include identifying one or more computations as being un-executable by any processor-based computing device of the vehicle. The method may include generating a query including query data describing the one or more computations to be executed for the vehicle. The method may include providing the query to a network. The method may include receiving a response from the network. The response may include solution data describing a result of executing the one or more computations. The response may be provided to the network by a processor-based computing device included in a hierarchy of processor-based computing devices that have greater computational ability than any processor-based computing devices of the vehicle.

    Content recommendation based on efficacy models

    公开(公告)号:US09916362B2

    公开(公告)日:2018-03-13

    申请号:US14085452

    申请日:2013-11-20

    Abstract: The disclosure includes a system and method for providing recommendation items to users. The system includes a processor and a memory storing instructions that when executed cause the system to: receive identification input data associated with a user; identify the user using the identification input data; receive sensor data; determine a current situation associated with the user from one or more predefined situations described by predefined situation data and associated parameters; receive data describing a set of candidate items; generate a set of efficacy scores for the set of candidate items; eliminate one or more candidate items from the set of candidate items to obtain one or more remaining candidate items; rank the one or more remaining candidate items based on one or more associated efficacy scores; and provide one or more recommendation items to the user from the one or more ranked remaining candidate items.

    Content recommendation based on efficacy models

    公开(公告)号:US09792331B2

    公开(公告)日:2017-10-17

    申请号:US14085452

    申请日:2013-11-20

    Abstract: The disclosure includes a system and method for providing recommendation items to users. The system includes a processor and a memory storing instructions that when executed cause the system to: receive identification input data associated with a user; identify the user using the identification input data; receive sensor data; determine a current situation associated with the user from one or more predefined situations described by predefined situation data and associated parameters; receive data describing a set of candidate items; generate a set of efficacy scores for the set of candidate items; eliminate one or more candidate items from the set of candidate items to obtain one or more remaining candidate items; rank the one or more remaining candidate items based on one or more associated efficacy scores; and provide one or more recommendation items to the user from the one or more ranked remaining candidate items.

    Autonomous navigation through obstacles

    公开(公告)号:US09709990B2

    公开(公告)日:2017-07-18

    申请号:US13724555

    申请日:2012-12-21

    CPC classification number: G05D1/0248 Y10S901/01

    Abstract: A system and method for navigating a mobile automated system through obstacles is disclosed. The system includes a communication module, an estimation module, a density module, a vector module, a navigating module and a command module. The communication module receives image sensor data from one or more sensors. The estimation module estimates one or more obstacle parameters. The density module determines a left obstacle image density and a right obstacle image density for a path from a start point to a navigating destination based on the one or more obstacle parameters. The vector module generates a vector model to determine a navigating direction based on the left obstacle image density and the right obstacle image density. The navigating module determines a navigating velocity for navigating the mobile automated system to the navigating destination. The command module generates one or more navigating commands based on the navigating velocity.

    Content Recommendation Based on Efficacy Models
    27.
    发明申请
    Content Recommendation Based on Efficacy Models 有权
    基于功效模型的内容推荐

    公开(公告)号:US20150142789A1

    公开(公告)日:2015-05-21

    申请号:US14085452

    申请日:2013-11-20

    Abstract: The disclosure includes a system and method for providing recommendation items to users. The system includes a processor and a memory storing instructions that when executed cause the system to: receive identification input data associated with a user; identify the user using the identification input data; receive sensor data; determine a current situation associated with the user from one or more predefined situations described by predefined situation data and associated parameters; receive data describing a set of candidate items; generate a set of efficacy scores for the set of candidate items; eliminate one or more candidate items from the set of candidate items to obtain one or more remaining candidate items; rank the one or more remaining candidate items based on one or more associated efficacy scores; and provide one or more recommendation items to the user from the one or more ranked remaining candidate items.

    Abstract translation: 本公开包括用于向用户提供推荐项目的系统和方法。 该系统包括处理器和存储指令的存储器,所述指令在执行时导致系统:接收与用户相关联的识别输入数据; 使用识别输入数据识别用户; 接收传感器数据; 从由预定义的情况数据和相关参数描述的一个或多个预定义情况确定与用户相关联的当前状况; 接收描述一组候选项目的数据; 产生一组候选项目的功效评分; 从一组候选项目中消除一个或多个候选项目以获得一个或多个剩余的候选项目; 基于一个或多个相关功效评分对一个或多个剩余候选项进行排序; 并且从一个或多个排名的剩余候选项目向用户提供一个或多个推荐项目。

    LOST DATA RECOVERY FOR VEHICLE-TO-VEHICLE DISTRIBUTED DATA STORAGE SYSTEMS

    公开(公告)号:US20200167241A1

    公开(公告)日:2020-05-28

    申请号:US16200574

    申请日:2018-11-26

    Abstract: The disclosure includes embodiments for recovering lost data in a vehicular micro cloud. In some embodiments, a method for a connected vehicle that is a member of the vehicular micro cloud includes detecting that one or more data segments of a data set are lost during a first data handover function transmitted over a Vehicle-to-Everything (V2X) network. The data set is partitioned into multiple data segments including the one or more data segments during a previous data handover function performed prior to the first data handover function. The method includes modifying an operation of a communication unit of the connected vehicle to collect the one or more data segments from a set of overhearing vehicles that overhears the one or more data segments during the previous data handover function so that the data set is recovered on the connected vehicle.

    Localizing traffic situation using multi-vehicle collaboration

    公开(公告)号:US10586118B2

    公开(公告)日:2020-03-10

    申请号:US15870870

    申请日:2018-01-13

    Abstract: A method receives situation data including images from vehicles; clusters, into an image cluster, the images included in the situation data of vehicle(s) located in a geographic region from among the vehicles; locates related situation object(s) in image(s) of the image cluster; matches images from different vehicles in the image cluster, the matched images having corresponding feature(s) of the related situation object(s); determines three-dimensional (3D) sensor coordinates of the related situation object(s) relative to a sensor position of a target vehicle associated with at least one matched image, using the corresponding feature(s) of the related situation object(s) in the matched images; converts the 3D sensor coordinates of the related situation object(s) to geolocation coordinates of the related situation object(s) using geolocation data of the different vehicles associated with the matched images; and determines a coverage area of a traffic situation based on the geolocation coordinates of the related situation object(s).

    Machine Learning Enhanced Vehicle Merging
    30.
    发明申请

    公开(公告)号:US20190310648A1

    公开(公告)日:2019-10-10

    申请号:US15949067

    申请日:2018-04-09

    Abstract: A method receives a first image set depicting a merging zone, the first image set including first image(s) associated with a first timestamp; determines, using a trained first machine learning logic, a first state describing a traffic condition of the merging zone at the first timestamp using the first image set; determines, from a sequence of states describing the traffic condition of the merging zone at a sequence of timestamps, using a trained second machine learning logic, second state(s) associated with second timestamp(s) prior to the first timestamp of the first state using a trained backward time distance; computes, using a trained third machine learning logic, impact metric(s) for merging action(s) using the first state, the second state(s), and the merging action(s); selects, from the merging action(s), a first merging action based on the impact metric(s); and provides a merging instruction including the first merging action to a merging vehicle.

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