Method and apparatus for next token prediction based on previously observed tokens

    公开(公告)号:US11043117B2

    公开(公告)日:2021-06-22

    申请号:US15993204

    申请日:2018-05-30

    Abstract: An approach is provided for next token prediction based on previously observed tokens. The approach involves receiving an observed time series of tokens, wherein each of the tokens represents an observed data pattern. The approach also involves adding a most recent token from the observed time series of tokens into a variable token set. The approach further involves processing a historical token set to determine a historical token sequence comprising the variable token set followed by a next token. The approach further involves recursively adding a next most recent token from the observed time series of tokens into the variable token set for processing until the next token following the variable token set in the determined historical token sequence is unique or meets a target number of possible predictions. The approach further involves presenting the next token as a predicted next token of the observed time series of tokens.

    Method and apparatus for providing semantic-free traffic prediction

    公开(公告)号:US10909470B2

    公开(公告)日:2021-02-02

    申请号:US15439622

    申请日:2017-02-22

    Abstract: An approach is provided for semantic-free traffic prediction. The approach involves dividing a travel-speed data stream into a plurality of travel-speed patterns. The travel-speed data stream represents vehicle travel speeds occurring in a road network. The approach also involves representing each of the plurality of travel-speed patterns by a respective token. The respective token is selected from a dictionary of tokens representing a plurality of travel-speed templates determined from historical travel-speed data. The approach further involves matching a sequence of the respective tokens corresponding to said each of the plurality of travel-speed patterns to a best-fit sequence of tokens determined from the historical travel-speed data. The approach further involves determining a predicted sequence of tokens based on the best-fit sequence of tokens, and generating a traffic prediction for the road network based on the predicted sequence of tokens.

    Method and apparatus for identifying buildings in textured 3D mesh data and generating 3D building models

    公开(公告)号:US10332309B2

    公开(公告)日:2019-06-25

    申请号:US14862791

    申请日:2015-09-23

    Abstract: An approach is provided for identifying objects present in mesh representation of a geo-location, generating accurate 3D models for the objects, and aligning the 3D models to their corresponding objects in an application. The approach comprises processing and/or facilitating a processing of textured three-dimensional mesh data in one or more regions of interest to cause, at least in part, a generation of at least one two-dimensional depth image representation. The approach further comprises causing, at least in part, a filtering of the textured three-dimensional mesh data in the one or more regions of interest to remove mesh data below at least one threshold height based, at least in part, on the at least one two-dimensional depth image representation. Additionally, the approach comprises processing and/or facilitating a processing of the filtered textured three-dimensional mesh data to cause, at least in part, a generation of at least one partial three-dimensional model, including one or more upper facades above the at least one threshold height, of one or more objects located within the one or more regions of interest.

    Method and apparatus for detecting pedestrian mode from probe data

    公开(公告)号:US09911326B2

    公开(公告)日:2018-03-06

    申请号:US14674839

    申请日:2015-03-31

    Abstract: An approach is provided for processing and/or facilitating a processing of probe trace data to determine one or more mode indicators, wherein the one or more mode indicators include, at least in part, one or more attributes of the probe trace data. The approach involves causing, at least in part, a modeling of one or more statistical patterns of at least one pedestrian mode of transport, at least one non-pedestrian mode of transport, or a combination thereof based, at least in part, on determining one or more probabilities that one or more mode indicators are associated with the at least one pedestrian mode of transport, the at least one non-pedestrian mode of transport, or a combination thereof. The approach also involves causing, at least in part, a classification of other probe trace data as being associated with the at least one pedestrian mode of transport or the at least one non-pedestrian mode of transport based, at least in part, on the one or more mode indicators that are associated with the other probe trace data and the one or more statistical patterns.

    Driver Behavior from Probe Data for Augmenting a Data Model
    6.
    发明申请
    Driver Behavior from Probe Data for Augmenting a Data Model 审中-公开
    用于扩展数据模型的探针数据的驱动程序行为

    公开(公告)号:US20150239478A1

    公开(公告)日:2015-08-27

    申请号:US14707168

    申请日:2015-05-08

    Abstract: In one implementation, sets of probe data are collected by probe vehicles. The probe data describes the driving characteristics of the probe vehicles. The sets of probe data are sent to a server or a mobile device for analysis. A polycurve, including a piecewise function of map data, is modified based on the probe data. The polycurve may be a spline curve for an advanced driver assistance system. The modified polycurve may be used in the advanced driver assistance system for a vehicle traveling along the same path previously traversed by the probe vehicles. Based on the polycurve modified by the probe data, a driver assistance feature is provided to the vehicle.

    Abstract translation: 在一个实现中,探测数据集由探测车辆收集。 探头数据描述探头车辆的驾驶特性。 探测数据组被发送到服务器或移动设备进行分析。 基于探测数据修改包含地图数据的分段功能的聚合曲线。 聚合曲线可以是高级驾驶员辅助系统的样条曲线。 改进的聚曲线可以用于先前的驾驶员辅助系统中,用于沿着由探测车辆先前穿过的相同路径行驶的车辆。 基于由探头数据修改的多个曲线,向车辆提供驾驶员辅助特征。

    Method and apparatus for providing shared annotations and recall of geospatial information

    公开(公告)号:US10025771B2

    公开(公告)日:2018-07-17

    申请号:US14706494

    申请日:2015-05-07

    Abstract: An approach is provided for sharing annotations and recalling geospatial information. The approach involves processing and/or facilitating a processing of communication information exchanged between a plurality of devices engaged in a communication session to cause, at least in part, a parsing of geospatial information from the communication information. The approach also involves determining whether the geospatial information meet, at least in part, one or more logic thresholds. The one or more logic thresholds are for determining a potential relevance of the geospatial information to the communication session, the plurality of devices, one or more users of the plurality of devices, or a combination thereof. The approach further involves causing, at least in part, a presentation of the geospatial information to the plurality of devices, the one or more users, or a combination thereof based, at least in part, on the determination.

    Method and apparatus for classifying a traffic jam from probe data

    公开(公告)号:US09965950B2

    公开(公告)日:2018-05-08

    申请号:US15172897

    申请日:2016-06-03

    CPC classification number: G08G1/0133 G08G1/0112

    Abstract: An approach is provided for classifying a traffic jam from probe data. The approach involves receiving the probe data that is map-matched to a roadway on which the traffic jam is detected. The probe data is collected from one or more vehicles traveling the roadway. The approach also involves determining a jam area of the roadway based on the probe data. The jam area corresponds to one or more segments of the roadway affected by the traffic jam. The approach further involves determining a set of features indicated by the probe data from a portion of the probe data collected from the jam area. The approach further involves classifying, using a machine learning classifier, the traffic jam as either a recurring traffic jam or a non-recurring traffic jam based on the set of features.

    Method and apparatus for classifying objects and clutter removal of some three-dimensional images of the objects in a presentation

    公开(公告)号:US09842282B2

    公开(公告)日:2017-12-12

    申请号:US14719523

    申请日:2015-05-22

    Abstract: An approach is provided for classifying objects that are present at a geo-location and providing an uncluttered presentation of images of some of the objects in an application such as a map application. The approach includes determining one or more regions of interest associated with at least one geo-location, wherein the one or more regions of interest are at least one textured three-dimensional representation of one or more objects that may be present at the at least one geo-location. The approach also includes processing and/or facilitating a processing of the at least one textured three-dimensional representation to determine at least one two-dimensional footprint and three-dimensional geometry information for the one or more objects. The approach further includes causing, at least in part, a generation of at least one two-dimensional image representation of the one or more regions of interest by causing, at least in part, a projection of three-dimensional texture information of the at least one textured three-dimensional representation onto the at least one two-dimensional footprint. The approach also includes causing, at least in part, a classification of the one or more objects based, at least in part, on the at least one two-dimensional image representation and the three-dimensional geometry information.

    Method and apparatus for providing traffic jam detection and prediction
    10.
    发明授权
    Method and apparatus for providing traffic jam detection and prediction 有权
    提供堵塞检测和预测的方法和装置

    公开(公告)号:US09569960B2

    公开(公告)日:2017-02-14

    申请号:US14629628

    申请日:2015-02-24

    CPC classification number: G08G1/0125 G08G1/012 G08G1/0133 G08G1/0141 G08G1/052

    Abstract: An approach is provided for predicting starting points and/or ending points for traffic jams in one or more travel segments. The approach involves processing and/or facilitating a processing of probe data associated with at least one travel segment to cause, at least in part, a generation of at least one speed curve with respect to a distance dimension and a time dimension, wherein the probe data includes speed information, and wherein the at least one speed curve indicates at least one previous starting point, at least one previous ending point, or a combination thereof for one or more previous traffic jams based, at least in part, on the speed information. The approach also involves processing and/or facilitating a processing of the at least one previous starting point, the at least one previous ending point, or a combination thereof to determine at least one starting point trend curve, at least one ending point trend curve, or a combination thereof with respect to the distance dimension and the time dimension. The approach further involves determining at least one predicted evolution of at least one starting point, at least one ending point, or a combination thereof for at least one traffic jam in the at least one travel segment based, at least in part, on the at least one starting point trend curve, the at least one ending point trend curve, or a combination thereof.

    Abstract translation: 提供了一种用于预测一个或多个旅行段中的交通拥堵的起始点和/或终点的方法。 该方法包括处理和/或促进与至少一个行进段相关联的探测数据的处理,以至少部分地相对于距离维度和时间维度产生至少一个速度曲线,其中探针 数据包括速度信息,并且其中至少一个速度曲线至少部分地基于速度信息指示至少一个先前起始点,至少一个先前结束点或其组合,用于一个或多个先前的交通拥堵 。 该方法还涉及处理和/或促进对至少一个先前起始点,至少一个先前结束点或其组合的处理,以确定至少一个起始点趋势曲线,至少一个终点趋势曲线, 或其相对于距离尺寸和时间维度的组合。 所述方法进一步涉及至少部分地基于所述至少一个起始点,至少一个终点或其组合来确定所述至少一个行进段中的至少一个交通堵塞的至少一个预测演变 至少一个起点趋势曲线,至少一个终点趋势曲线或其组合。

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