View source for 20240025359. SYSTEM FOR CONTROLLER AREA NETWORK PAYLOAD DECODING simplified abstract (UT-Battelle, LLC)

=SYSTEM FOR CONTROLLER AREA NETWORK PAYLOAD DECODING=


==Organization Name==

[[:Category:UT-Battelle, LLC|UT-Battelle, LLC]]


[[Category:UT-Battelle, LLC]]

==Inventor(s)==

[[:Category:Kiren E. Verma of Oak Ridge TN (US)|Kiren E. Verma of Oak Ridge TN (US)]][[Category:Kiren E. Verma of Oak Ridge TN (US)]]

[[:Category:Robert A. Bridges of Oak Ridge TN (US)|Robert A. Bridges of Oak Ridge TN (US)]][[Category:Robert A. Bridges of Oak Ridge TN (US)]]

[[:Category:Samuel C. Hollifield of Oak Ridge TN (US)|Samuel C. Hollifield of Oak Ridge TN (US)]][[Category:Samuel C. Hollifield of Oak Ridge TN (US)]]

==SYSTEM FOR CONTROLLER AREA NETWORK PAYLOAD DECODING - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240025359 titled 'SYSTEM FOR CONTROLLER AREA NETWORK PAYLOAD DECODING

==Simplified Explanation==

The abstract describes a system for decoding unknown automotive Controller Area Network (CAN) message definitions. The system can analyze CAN data and determine the boundaries, endianness, and signedness of CAN signals, allowing for the conversion of CAN data to time series. It can also interpret the translated CAN data's physical meaning and find a linear mapping to standard units. The system can be integrated into lightweight hardware for real-time in-vehicle CAN decoding or run on standard computers. It can output a standard DBC file with the signal definition information.

* The system decodes unknown automotive CAN message definitions.
* It analyzes CAN data to determine signal boundaries, endianness, and signedness.
* It converts CAN data to time series.
* It interprets the physical meaning of the translated CAN data and maps it to standard units.
* It can be integrated into lightweight hardware or run on standard computers.
* It outputs a standard DBC file with signal definition information.

Potential applications of this technology:
* Research on automotive systems and performance monitoring.
* After-market tuning of vehicles.
* Fault diagnosis in automotive systems.
* Privacy-related technologies.

Problems solved by this technology:
* Lack of knowledge about CAN signal mappings, which impedes research and development.
* Inability to interpret real-time vehicle data hidden in CAN packets.
* Difficulty in converting CAN data to time series and mapping it to standard units.

Benefits of this technology:
* Enables researchers to access and analyze real-time vehicle data.
* Facilitates after-market tuning and performance monitoring of vehicles.
* Helps diagnose faults in automotive systems.
* Supports the development of privacy-related technologies.
* Provides a standardized output format for signal definition information.


==Original Abstract Submitted==

a system for decoding an unknown automotive controller area network (“can”) message definitions. can data vehicle signal mappings are typically held in secret and varied by automotive model and year. without knowledge of the mappings, the wealth of real-time vehicle data hidden in the automotive can packets is uninterpretable—impeding research, after-market tuning, efficiency and performance monitoring, fault diagnosis, and privacy-related technologies. this system can ascertain the can signals' boundaries (start bit and length), endianness (byte ordering), signedness (binary-to-integer encoding) from raw can data. this allows conversion of can data to time series. interpreting the translated can data's physical meaning and finding a linear mapping to standard units (e.g., knowing the signal is speed and scaling values to represent units of miles per hour) can be achieved for many signals by leveraging diagnostic standards to obtain real-time measurements of in-vehicle systems. the system can be integrated into lightweight hardware enabling an obd-ii plugin for real-time in-vehicle can decoding or run on standard computers. the system can output a standard dbc file with the signal definition information.



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