公开(公告)号：US20230147896A1

公开(公告)日：2023-05-11

申请号：US17523875

申请日：2021-11-10

Applicant: CARIAD SE

Inventor： David Mai ,  Edson Fangwa Nzeya ,  Sandeep Kumar Patil

IPC: G07C5/00 ,  G07C5/08

CPC classification number: G07C5/008 ,  G07C5/0816 ,  G07C5/0808

Abstract: Approaches, techniques, and mechanisms are disclosed for large scale vehicle data collaborative analysis. According to one embodiment, a large amount of data streams is received from a multitude of vehicles. A distributed event streaming system is applied to parse the data streams based on an attribute, such as time sensitive data, location-specific data, or vehicle maintenance, operational, or fault-prevention data. A data container platform instance hosts applications that receive the parsed data streams. Output of an application is transformed into data streams having a common topic. Other applications may access the data streams by topic. Upon receiving an indication that an application has processed a data stream by topic, a decision point may be reached and executed by an external application, triggering an action on a vehicle from the multitude of vehicles. A vehicle computing system accesses topic data streams and performs an action on the vehicle.

公开(公告)号：US12236722B2

公开(公告)日：2025-02-25

申请号：US17523882

申请日：2021-11-10

Applicant: CARIAD SE ,  AUDI AG

Inventor： David Mai ,  Edson Fangwa Nzeya ,  Sandeep Kumar Patil

IPC: G07C5/00 ,  G06F9/50 ,  G07C5/08 ,  H04W4/40

Abstract: Approaches, techniques, and mechanisms are disclosed for large scale vehicle data collaborative analysis. According to one embodiment, a large amount of data streams is received from a multitude of vehicles. A distributed event streaming system is applied to parse the data streams based on an attribute, such as time sensitive data, location-specific data, or vehicle maintenance, operational, or fault-prevention data. A data container platform instance hosts applications that receive the parsed data streams. Output of an application is transformed into data streams having a common topic. Other applications may access the data streams by topic. Upon receiving an indication that an application has processed a data stream by topic, a decision point may be reached and executed by an external application, triggering an action on a vehicle from the multitude of vehicles.

公开(公告)号：US20230143923A1

公开(公告)日：2023-05-11

申请号：US17523882

申请日：2021-11-10

Applicant: CARIAD SE

Inventor： David Mai ,  Edson Fangwa Nzeya ,  Sandeep Kumar Patil

IPC: G07C5/00 ,  G07C5/08 ,  G06F9/50 ,  H04W4/40

CPC classification number: G07C5/008 ,  G07C5/0841 ,  G07C5/0816 ,  G06F9/5072 ,  H04W4/40

Abstract: Approaches, techniques, and mechanisms are disclosed for large scale vehicle data collaborative analysis. According to one embodiment, a large amount of data streams is received from a multitude of vehicles. A distributed event streaming system is applied to parse the data streams based on an attribute, such as time sensitive data, location-specific data, or vehicle maintenance, operational, or fault-prevention data. A data container platform instance hosts applications that receive the parsed data streams. Output of an application is transformed into data streams having a common topic. Other applications may access the data streams by topic. Upon receiving an indication that an application has processed a data stream by topic, a decision point may be reached and executed by an external application, triggering an action on a vehicle from the multitude of vehicles.