Patents by Inventor Jeremy Michael YOUNG

Jeremy Michael YOUNG has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20220137641
    Abstract: A method, apparatus and computer program product are provided for generating an autonomous driving profile map index. In this regard, vehicle context data and location data thereof associated with a vehicle traveling along a road segment is received. The vehicle context data is determined based on a transition into a platooning driving profile for the vehicle that establishes a communication connection between the vehicle and another vehicle traveling along the road segment. Furthermore, autonomous driving profile data for the vehicle at the road segment associated with the location data is calculated based on the vehicle context data.
    Type: Application
    Filed: November 4, 2020
    Publication date: May 5, 2022
    Inventors: Leon Stenneth, Jeremy Michael Young, Jerome Beaurepaire
  • Publication number: 20220121862
    Abstract: Systems and methods for the detection and analysis of road markings and other road objects are described. A method for detection of road markings comprises identifying image data including lane markings associated with a road segment, defining a plurality of subsections for the road segment, identifying boundary recognition observations for the lane markings from the image data corresponding to the at least one of the plurality of subsections for the road segments, calculating one or more clusters for the boundary recognition observations according to color or intensity, and outputting a lane marking indicator indicating the color or the intensity, for the at least one of the plurality of subsections for the road segments, in response to the one or more clusters.
    Type: Application
    Filed: October 19, 2020
    Publication date: April 21, 2022
    Inventors: Leon Stenneth, Jerome Beaurepaire, Jeremy Michael Young
  • Publication number: 20220122456
    Abstract: System and methods are provided for generating answers to questions by drivers or passengers of autonomous vehicles in order to better understand the behaviors of other vehicles around them by being able to get contextual answers to behavioral queries. The system receives a user inquiry from a user of the vehicle, the user inquiry related to a behavior of another vehicle in the vicinity of the vehicle. The system analyzes sensor data acquired by the vehicle for a period of time preceding the inquiry and generates an answer to the inquiry based on contextual information of the inquiry, the analysis of the sensor data, and mapping information.
    Type: Application
    Filed: October 20, 2020
    Publication date: April 21, 2022
    Inventors: Jerome Beaurepaire, Leon Stenneth, Jeremy Michael Young
  • Publication number: 20220119010
    Abstract: System and methods are provided for predicting, reacting to, and avoiding loss of traction events, such as hydroplaning for autonomous vehicles. For example, the method predicts a risk of an area being subject to hydroplaning using real-time data and/or historical data. The method may store possible hydroplaning events in a geographic map along with a risk assessment. The method provides lane level hydroplaning risk predictions and avoidance mechanisms.
    Type: Application
    Filed: October 16, 2020
    Publication date: April 21, 2022
    Inventors: Jerome Beaurepaire, Leon Stenneth, Jeremy Michael Young
  • Patent number: 11302345
    Abstract: A method, apparatus and computer program product are provided for vehicle localization via frequency audio features. In this regard, a frequency audio signature of audio data received from one or more audio sensors of a vehicle is determined. Location data associated with the vehicle is also determined. Based on the location data for the vehicle, at least a portion of an audio feature map is selected. The audio feature map stores frequency audio signatures associated with road noise in relation to respective locations. Furthermore, the frequency audio signature of the audio data is compared with the frequency audio signatures of the audio feature map. Based on the comparison between the frequency audio signature of the audio data and the frequency audio signatures of the audio feature map, a location of the vehicle is refined to generate updated location data for the vehicle.
    Type: Grant
    Filed: May 6, 2020
    Date of Patent: April 12, 2022
    Assignee: Here Global B.V.
    Inventors: Jeremy Michael Young, Leon Stenneth
  • Publication number: 20220066467
    Abstract: A method, apparatus and computer program product are provided for managing autonomous vehicles. In this regard, vehicle context data associated with an indication of a change in an autonomous level for a vehicle traveling along a road segment is determined. Furthermore, the vehicle is assigned to a queue of vehicles traveling along the road segment in response to a determination that the vehicle context data corresponds to particular vehicle context data associated with the queue of vehicles. An indication of the queue of vehicles may also be provided to the vehicle to facilitate navigation of the vehicle.
    Type: Application
    Filed: December 15, 2020
    Publication date: March 3, 2022
    Inventors: Leon Stenneth, Jeremy Michael Young, Jerome Beaurepaire
  • Publication number: 20220063653
    Abstract: A method, apparatus and computer program product are provided to facilitate autonomous vehicle selection based on the vehicle's ability to navigate autonomous transition regions along a particular route comprising at least one autonomous transition region. In context of a method, the method receives a route request comprising an origin location and a destination location and determines, based at least on the route request, one or more candidate routes. For a respective candidate route, the method analyzes the respective candidate route based upon one or more autonomous transition region parameters, and causes transmission of information relating to the respective candidate route based upon the analyzing of the respective candidate route and the one or more autonomous transition region parameters associated therewith.
    Type: Application
    Filed: November 5, 2020
    Publication date: March 3, 2022
    Inventors: Jerome BEAUREPAIRE, Leon STENNETH, Jeremy Michael YOUNG
  • Publication number: 20220067813
    Abstract: A method, apparatus and computer program product are provided for generating recommendations of autonomous vehicles that satisfy a personalized autonomous transition tolerance. In context of a method, the method receives a route request associated with a user and determines a personalized vehicle recommendation of one or more autonomous vehicles for the user based upon historical data associated with the user regarding prior vehicle selections including historical data relating to an autonomous transition tolerance to changes in autonomy level of a vehicle during traversal of a route. The method also causes transmission of the personalized vehicle recommendation to a user device associated with the user.
    Type: Application
    Filed: November 5, 2020
    Publication date: March 3, 2022
    Inventors: Jerome BEAUREPAIRE, Leon STENNETH, Jeremy Michael YOUNG
  • Publication number: 20220065656
    Abstract: A method, apparatus and computer program product are provided for generating an automated driving capability map index. In this regard, autonomous level data and location data thereof associated with a vehicle traveling along a road segment is received. The autonomous level data is identified based on a change in an autonomous level for the vehicle. Furthermore, based on the location data, the autonomous level data is aggregated with other autonomous level data for one or more other vehicles associated with the road segment to generate aggregated autonomous level data for the road segment. The aggregated autonomous level data is also encoded in a database to facilitate an autonomous level prediction for vehicles associated with the road segment.
    Type: Application
    Filed: December 15, 2020
    Publication date: March 3, 2022
    Inventors: Jeremy Michael Young, Leon Stenneth, Jerome Beaurepaire
  • Publication number: 20220063676
    Abstract: A method, apparatus and computer program product are provided for identifying and providing dynamic solutions for improvement of autonomous transition regions. In the context of a method, the method receives autonomous transition data associated with at least one autonomous transition region from at least one autonomous vehicle, and based at least on the autonomous transition data, determines one or more dynamic solutions for autonomous transitions within the at least one autonomous transition region. The method also generates a recommendation comprising at least indications of the one or more dynamic solutions and causes transmission of the recommendation to at least one external source.
    Type: Application
    Filed: November 5, 2020
    Publication date: March 3, 2022
    Inventors: Jerome BEAUREPAIRE, Leon STENNETH, Jeremy Michael YOUNG
  • Publication number: 20220063654
    Abstract: A method, apparatus and computer program product are provided for improving user experiences for autonomous driving. In context of a method, the method determines one or more autonomous transition region parameters for a respective autonomous transition region along a route. The method also, based on the one or more autonomous transition region parameters, determines whether an action is to be performed by a vehicle in accordance with user preference data associated with a user. The method also causes the vehicle to perform the action in accordance with a determination that the action is to be performed by the vehicle.
    Type: Application
    Filed: November 5, 2020
    Publication date: March 3, 2022
    Inventors: Jerome BEAUREPAIRE, Leon STENNETH, Jeremy Michael YOUNG
  • Publication number: 20220063639
    Abstract: A method, apparatus and computer program product are provided for predicting autonomous transition regions using historical information. In this regard, historical autonomous transition data is accessed. The historical autonomous transition data is associated with vehicles that transition from respective autonomous levels while traveling along one or more road segments associated with a first geographic area. Furthermore, one or more features of the historical autonomous transition data associated with the first geographic area is identified. A machine learning model is then trained based on the one or more features associated with the first geographic area.
    Type: Application
    Filed: December 15, 2020
    Publication date: March 3, 2022
    Inventors: Leon Stenneth, Jerome Beaurepaire, Jeremy Michael Young
  • Publication number: 20220063673
    Abstract: A method, apparatus and computer program product are provided for generating a transition variability index related to autonomous driving. In this regard, a first transition variability index is calculated. The first transition variability index is indicative of a first degree of variability in relation to transition of vehicles from respective autonomous levels while traveling proximate a first spatial reference point. Furthermore, a second transition variability index is generated. The second transition variability index is indicative of a second degree of variability in relation to transition of vehicles from respective autonomous levels while traveling along proximate a second spatial reference point. Updating of transition data associated with one of the first and second spatial reference points relative to another one of the first and second spatial reference points is then prioritized based on a comparison between the first transition variability index and the second transition variability index.
    Type: Application
    Filed: December 15, 2020
    Publication date: March 3, 2022
    Inventors: Leon Stenneth, Jerome Beaurepaire, Jeremy Michael Young
  • Publication number: 20220055643
    Abstract: A method, apparatus, and computer program product are provided for identifying the reliability of objects within a mapped region for localization and facilitating autonomous control of a vehicle. Methods may include: receiving an indication of an event having event data; assigning at least one object at a location of the event an impact score based on an estimated impact of the event; and providing an indication of a reduction in autonomous vehicle capability in response to the impact score failing to satisfy a predetermined value. The impact score may include a probability that the corresponding object is reliable for localization or autonomous vehicle control. Methods may include providing the indication of a reduction in autonomous vehicle capability to at least one device associated with a vehicle in response to the at least one device associated with the vehicle having a travel path including the at least one road link.
    Type: Application
    Filed: December 10, 2020
    Publication date: February 24, 2022
    Inventors: Jeremy Michael Young, Leon Stenneth, Jerome Beaurepaire
  • Patent number: 11222527
    Abstract: An approach is provided for vehicle map data update. The approach involves, for example, processing sensor data captured by a sensor of a vehicle to detect a machine-readable visual representation. The machine-readable visual representation encodes map data corresponding to a map tile of a geographic database. The approach also involves decoding the map data from the machine-readable visual representation. The approach further involves updating a local copy of the map tile stored in the vehicle based on the map data.
    Type: Grant
    Filed: August 16, 2019
    Date of Patent: January 11, 2022
    Assignee: HERE Global B.V.
    Inventors: Jeremy Michael Young, Leon Stenneth
  • Publication number: 20210375305
    Abstract: A method, apparatus and computer program product are provided to identify the class of vehicle driving over a road surface based upon audio data collected as the vehicle drives thereover. With respect to predicting a class of a vehicle, audio data is obtained that is created by the vehicle while driving over the road surface. The audio data includes one or more audio frequency features and/or one or more audio amplitude features. The audio data including the one or more audio frequency features and/or the one or more audio amplitude features is provided to a machine learning model and the class of the vehicle that created the audio data is predicted utilizing the machine learning model. A method, apparatus and computer program product are also provided for training the machine learning model to predict the class of the vehicle driving over the road surface.
    Type: Application
    Filed: December 21, 2020
    Publication date: December 2, 2021
    Applicant: HERE Global B.V.
    Inventors: Leon STENNETH, Jeremy Michael YOUNG
  • Publication number: 20210372813
    Abstract: A method, apparatus and computer program product are provided to predict a map object based at least in part on audio data. With respect to predicting a map object, audio data created by a vehicle while driving over a road surface is obtained. The audio data includes one or more audio amplitude features, one or more audio frequency features or a combination of audio amplitude features and audio frequency features. The audio data including the one or more audio amplitude features is provided to a machine learning model and the map object that created the audio data while the vehicle interacted therewith is predicted utilizing the machine learning model. A method, apparatus and computer program product are also provided for training the machine learning model to predict the map object based at least in part on audio data.
    Type: Application
    Filed: December 21, 2020
    Publication date: December 2, 2021
    Applicant: HERE Global B.V.
    Inventors: Leon STENNETH, Jeremy Michael YOUNG
  • Publication number: 20210350817
    Abstract: A method, apparatus and computer program product are provided for vehicle localization via frequency audio features. In this regard, a frequency audio signature of audio data received from one or more audio sensors of a vehicle is determined. Location data associated with the vehicle is also determined. Based on the location data for the vehicle, at least a portion of an audio feature map is selected. The audio feature map stores frequency audio signatures associated with road noise in relation to respective locations. Furthermore, the frequency audio signature of the audio data is compared with the frequency audio signatures of the audio feature map. Based on the comparison between the frequency audio signature of the audio data and the frequency audio signatures of the audio feature map, a location of the vehicle is refined to generate updated location data for the vehicle.
    Type: Application
    Filed: May 6, 2020
    Publication date: November 11, 2021
    Inventors: Jeremy Michael Young, Leon Stenneth
  • Publication number: 20210349939
    Abstract: A method, apparatus and computer program product are provided for vehicle localization via amplitude audio features. In this regard, an amplitude audio signature of audio data received from one or more audio sensors of a vehicle is determined. Location data associated with the vehicle is also determined. Based on the location data for the vehicle, at least a portion of an audio feature map is selected. The audio feature map stores amplitude audio signatures associated with road noise in relation to respective locations. Furthermore, the amplitude audio signature of the audio data is compared with the amplitude audio signatures of the audio feature map. Based on the comparison between the amplitude audio signature of the audio data and the amplitude audio signatures of the audio feature map, a location of the vehicle is refined to generate updated location data for the vehicle.
    Type: Application
    Filed: May 6, 2020
    Publication date: November 11, 2021
    Inventors: Jeremy Michael Young, Leon Stenneth
  • Publication number: 20210347374
    Abstract: Sensor data captured by one or more sensors coupled to a first entity are received by an apparatus. The sensor data comprises a location of the first entity or representation of surroundings of the first entity. Based at least in part on the sensor data, a second entity is identified. Based at least in part on trajectories along which the first and second entities are respectively traveling, it is expected that the second entity will enter a zone defined around the first entity. Based at least in part on the sensor data, an amount of time until the second entity will enter the zone is determined. The amount of time until the second entity will enter the zone is provided as (a) input to a navigation function and/or (b) to be displayed as a countdown via a display element and/or speaker element of the first entity.
    Type: Application
    Filed: May 5, 2020
    Publication date: November 11, 2021
    Inventors: Leon Stenneth, Jeremy Michael Young, Jerome Beaurepaire