METHOD AND SYSTEM TO GENERATE MACHINE LEARNING MODEL FOR EVALUATING QUALITY OF DATA

    公开(公告)号:US20210216076A1

    公开(公告)日:2021-07-15

    申请号:US16738652

    申请日:2020-01-09

    Abstract: A system, a method and a computer program product are provided for evaluating quality of data, such as sensor data and map data, using a machine learning model. The system may include at least one memory configured to store computer executable instructions and at least one processor configured to execute the computer executable instructions to obtain first sensor features of the first sensor data associated with a road object in a first geographic region, first map features of the first map data associated with the road object and ground truth data associated with the road object. The processor may be configured to generate the machine learning model by configuring the ground truth data and calculating first information scores for each of the first sensor features and the first map features by recursively splitting each of the first sensor features and the first map features.

    METHOD, APPARATUS, AND SYSTEM FOR MACHINE LEARNING OF PHYSICAL DIVIDERS USING MAP DATA AND VEHICULAR SENSOR DATA

    公开(公告)号:US20190243375A1

    公开(公告)日:2019-08-08

    申请号:US15890009

    申请日:2018-02-06

    Abstract: An approach is provided for machine learning of physical dividers. The approach, for instance, involves retrieving map data, sensor data, or a combination thereof for a segment of a road. The approach also involves retrieving ground truth data for the segment of the road. The ground truth data, for instance, indicates a true presence or a true absence of the physical divider on the segment of the road. The approach further involves processing the map data, the sensor, or a combination thereof and the ground truth data to train a machine learning model to predict the physical divider using the map data, the sensor data, or a combination thereof as an input. The approach further involves using the trained machine learning model to a generate a physical divider overlay of a map representation of a road network.

    METHOD AND APPARATUS FOR PROVIDING NOTIFICATIONS BASED ON RANKING OF ROAD LINKS
    4.
    发明申请
    METHOD AND APPARATUS FOR PROVIDING NOTIFICATIONS BASED ON RANKING OF ROAD LINKS 审中-公开
    基于道路链接排序提供通知的方法和装置

    公开(公告)号:US20160144853A1

    公开(公告)日:2016-05-26

    申请号:US14552074

    申请日:2014-11-24

    Abstract: An approach is provided for prioritizing notification to one or more vehicles based on the ranking of one or more road links. The approach involves determining one or more road links that are associated with at least one curvature value greater than at least one curvature threshold value. The approach also involves determining humanized speed information and speed limit information for the one or more road links. The approach further involves processing and/or facilitating a processing of the at least one curvature value, the humanized speed information, and the speed limit information to determine danger level information for the one or more road links. The approach also involves causing, at least in part, a ranking of the one or more road links based, at least in part, on the danger level information. The approach further involves causing, at least in part, a prioritization of one or more notifications to one or more vehicles approaching or traveling the one or more road links based, at least in part, on the ranking of the one or more road links.

    Abstract translation: 提供了一种基于一个或多个道路链路的排名来将通知优先于一个或多个车辆的方法。 所述方法包括确定与至少一个曲率值至少大于至少一个曲率阈值的至少一个曲率值相关联的一个或多个道路连杆。 该方法还涉及确定用于一个或多个道路链路的人性化速度信息和速度限制信息。 该方法进一步涉及处理和/或促进对至少一个曲率值,人化速度信息和速度限制信息的处理,以确定一个或多个道路链路的危险等级信息。 该方法还涉及至少部分地至少部分地基于危险等级信息来引起一个或多个道路链路的排名。 该方法还包括至少部分地至少部分地至少部分地使一个或多个通知对一个或多个接近或行进一个或多个道路链路的一个或多个车辆进行优先级排列,至少部分地基于一个或多个道路链路的排名。

    METHOD, APPARATUS, AND SYSTEM FOR DETERMINING A BICYCLE LANE DEVIATION FOR AUTONOMOUS VEHICLE OPERATION

    公开(公告)号:US20230206767A1

    公开(公告)日:2023-06-29

    申请号:US17564944

    申请日:2021-12-29

    CPC classification number: G08G1/166 G08G1/167 B60W60/0015 G01C21/30

    Abstract: An approach is provided for determining bicycle lane deviations for autonomous vehicle warning or operation. The approach, for example, involves retrieving probe data associated with a bicycle transportation mode. The approach also involves determining a plurality of probe points of the probe data that are map-matched outside of a bicycle lane. The approach further involves clustering the plurality of probe points into at least one location cluster. The approach further involves storing the one or more location clusters in a geographic database as respective one or more hazard areas where a plurality of bicycles deviates outside of the bicycle lane. By way of example, the approach can further involve using the at least one location cluster to perform at least one of providing a warning message or determining a driving parameter for an autonomous vehicle.

    METHODS AND SYSTEMS FOR DETECTING AN ENVIRONMENTAL ZONE IN A REGION

    公开(公告)号:US20220178711A1

    公开(公告)日:2022-06-09

    申请号:US17112380

    申请日:2020-12-04

    Abstract: System, method and computer program products are provided for detecting an environmental zone, generating a time schedule of an environmental zone in a region and providing route navigation instructions. The method may include obtaining at least one observation associated with the environmental zone in a region. The method may further include determining a confidence value associated with the at least one observation in the region and detecting the environmental zone in the region based on the confidence value associated with the at least one observation. The detection of the environmental zone comprises determining either one of a presence or an absence of the environmental zone in the region. Further, the detection of the environmental zone may be used to generate a time schedule indicating presence or absence of the environmental zone in the region for different time intervals.

    APPARATUS AND METHODS FOR ASSESSING GEOSPATIAL AERIAL IMAGES FOR IMAGE PROCESSING

    公开(公告)号:US20240169508A1

    公开(公告)日:2024-05-23

    申请号:US17990526

    申请日:2022-11-18

    CPC classification number: G06T7/0002 G06T2207/10032 G06T2207/30168

    Abstract: An apparatus, method and computer program product are provided for assessing geospatial aerial images for image processing. In one example, the apparatus receives a plurality of geospatial aerial images, where each of the plurality of geospatial aerial image data represents a zone within a map. The apparatus selects a bounding zone within the map for image processing and, in response to the bounding zone including a subset of the plurality of geospatial aerial images, the apparatus accepts or rejects the subset for the image processing based on one or more attributes of the subset. The one or more attributes is a resolution of each of the subset, an amount of area within the bounding zone covered by the subset, a clarity of each of the subset, an amount of gap or overlap between the subset, or a combination thereof.

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