METHOD FOR ENRICHING A MAP REPRESENTATION OF A TRAFFIC INFRASTRUCTURE

    公开(公告)号:US20230311948A1

    公开(公告)日:2023-10-05

    申请号:US18182890

    申请日:2023-03-13

    Abstract: A method for enriching a map representation of a traffic infrastructure. The method includes: receiving map data of a map representation of a traffic infrastructure, the map representation including pieces of information of a multitude of roadways negotiable by vehicles, the map representation encompassing pieces of information regarding at least one roadway including a transition area; receiving trajectory data of a multitude of first driving trajectories and a multitude of second driving trajectories of a multitude of vehicles; ascertaining a first number of the first driving trajectories and a second number of the second driving trajectories, and comparing the first number to the second number; and marking the first route as a preferred route in the map representation if the first number is greater than the second number.

    SYSTEMS AND METHODS FOR CONTEXT BASED KNOWLEDGE FORWARDING IN VEHICULAR KNOWLEDGE NETWORKING

    公开(公告)号:US20240343267A1

    公开(公告)日:2024-10-17

    申请号:US18300367

    申请日:2023-04-13

    Abstract: Systems and methods are provided for providing context-based knowledge forwarding which ties a contextual meaning to knowledge, ensuring that knowledge is received within the proper context. A vehicle can query knowledge within a context (e.g., rainy weather conditions), and in response will be forwarded knowledge that was created in similar context (e.g., rainy weather). Contextual features are assigned to knowledge during a knowledge cycle, and contextual features are leveraged when the knowledge is forwarded to be utilized by entities in the vehicular knowledge network. A computer system can construct a knowledge context that corresponds to knowledge. The computer system can also perform context-based knowledge forwarding for a knowledge query by determining that the knowledge context corresponds to a query context of a knowledge query. Consequently, by forwarding knowledge in the correct context, the knowledge is increasingly accurate and beneficial within the vehicular knowledge network, thereby realizing improved vehicle/driver safety features.

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