Lost data recovery for vehicle-to-vehicle distributed data storage systems

    公开(公告)号:US10769031B2

    公开(公告)日:2020-09-08

    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.

    Anomaly Mapping by Vehicular Micro Clouds
    3.
    发明申请

    公开(公告)号:US20200257298A1

    公开(公告)日:2020-08-13

    申请号:US16273134

    申请日:2019-02-11

    Abstract: The disclosure includes embodiments for generating improved anomaly maps. In some embodiments, a method for a connected vehicle includes detecting an occurrence of an anomaly in a roadway environment based on sensor data describing the roadway environment. The method includes creating, by the connected vehicle, an anomaly map that describes the anomaly. The method includes modifying an operation of a communication unit of the connected vehicle to receive one or more other anomaly maps describing the anomaly from one or more cooperation endpoints in the roadway environment. The method includes generating an updated anomaly map based on the anomaly map created by the connected vehicle and the one or more other anomaly maps created by the one or more cooperation endpoints so that an accuracy of the updated anomaly map is improved.

    Hierarchical route generation, provision, and selection

    公开(公告)号:US10739147B2

    公开(公告)日:2020-08-11

    申请号:US15951142

    申请日:2018-04-11

    Abstract: An example method receives sensor data of a vehicle at a localized server associated with a particular geographic region that has one or more roadway segments. The vehicle is located in the particular geographic region. The method analyzes the sensor data to determine one or more of a localized lane option and a localized path option for navigating the vehicle and provides the one or more of the lane and the path for navigating the vehicle to a centralized server executing a route planer. The centralized server has data covering a plurality of geographic regions. The method determines a centralized route option including one or more of the localized lane option and the localized path option and provides the centralized route option including the one or more of the localized lane option and the localized path option to a guidance selector of a navigation application of the vehicle for processing.

    WIRELESS COMMUNICATIONS IN A VEHICULAR MACRO CLOUD

    公开(公告)号:US20200153902A1

    公开(公告)日:2020-05-14

    申请号:US16190235

    申请日:2018-11-14

    Abstract: The disclosure includes embodiments for improving wireless communications among vehicular micro clouds within a vehicular macro cloud. In some embodiments, a method for a control plane (CP) node in a vehicular micro cloud includes: receiving a data request via a Vehicle-to-Everything (V2X) network; analyzing the data request using a control plane to select a target content provider for providing data content requested by the data request; using a data plane to process the data request; generating feedback data including one or more of result data describing a processing result of the data request and control-plane data; and modifying an operation of the CP node based on the feedback data so that a reduction including one or more of a latency of data delivery and a data packet loss for data requests processed by the CP node is achieved. The reduction improves over time as more feedback data is generated.

    Computation service for mobile nodes in a roadway environment

    公开(公告)号:US10567923B2

    公开(公告)日:2020-02-18

    申请号:US15644197

    申请日:2017-07-07

    Abstract: The disclosure includes embodiments for providing a service to a vehicle via a macro-vehicular cloud. A method, according to some embodiments, is implemented by the vehicle which communicatively coupled to the macro-vehicular cloud via a non-infrastructure network. The macro-vehicular cloud includes a plurality of micro-vehicular clouds which each include a set of onboard vehicle computers that are operable to provide a set of computing resources to the macro-vehicular cloud via the non-infrastructure network. The method includes transmitting, via the non-infrastructure network, a wireless message requesting a merge service from the macro-vehicular cloud. The method includes receiving, via the non-infrastructure network, the merge service from the set of computing resources of the macro-vehicular cloud. The merge service includes the macro-vehicular cloud instructing the vehicle to merge into a lane of a roadway.

    Remote vehicle control at intersections

    公开(公告)号:US10559197B2

    公开(公告)日:2020-02-11

    申请号:US15953360

    申请日:2018-04-13

    Abstract: In an example, a method determines one or more characteristics of an intersection of two or more lanes of a roadway and determines a plurality of compatible movement groups representing allowable movement options of vehicles approaching the intersection. The method further calculates delays for the compatible movement groups, respectively, selects a compatible movement group from the plurality of compatible movement groups based on the delays, and provides control instructions to a set of the vehicles in a control region of the intersection associated with the compatible movement group to control one or more dynamics of each of the vehicles of the set as the vehicles of the set traverse the intersection.

    Real-time detection of traffic situation

    公开(公告)号:US10540554B2

    公开(公告)日:2020-01-21

    申请号:US15939308

    申请日:2018-03-29

    Abstract: A method extracts a region of interest (ROI) from an image depicting a roadway; executes a first object detector that detects, in the ROI, a first situation object matching a first object type; generates a first object confidence score for the first situation object; executes, in parallel with the first object detector, a second object detector that detects, in the ROI, a second situation object matching a second object type different from the first object type; generates a second object confidence score for the second situation object; determines that the first object type and the second object type are associated with a prospective situation category; combines the first object confidence score and the second object confidence score into a situation confidence score corresponding to the prospective situation category; evaluates the situation confidence score to determine that a traffic situation defined by the prospective situation category is depicted in the ROI.

    Localizing Traffic Situation Using Multi-Vehicle Collaboration

    公开(公告)号:US20190220678A1

    公开(公告)日:2019-07-18

    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).

    Distributable Representation Learning for Associating Observations from Multiple Vehicles

    公开(公告)号:US20190220675A1

    公开(公告)日:2019-07-18

    申请号:US15870875

    申请日:2018-01-13

    CPC classification number: G06K9/00791 G06K9/623 G06K9/627

    Abstract: In an example embodiment, a computer-implemented method generates, using first machine learning logic, a first compact representation of a first object in a first image captured from a first perspective; generates, using second machine learning logic, a second compact representation of a second object in a second image captured from a second perspective; computes a similarity score reflecting a level of similarity between the first compact representation of the first object and the second compact representation of the second object; and identifies a subset of features of the first object and the second object as being more determinative than other features of the first object and the second object based on a comparison of the similarity score to a predetermined target output.

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