# US 11,993,270 B2 · System and method for driving style driver identity determination and control of vehicle functions > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,993,270 B2 - Document ID: US11993270B2 - Status: Granted - Kind: B2 - Application number: 17/542,054 - Filed: 2021-12-03 - Published: 2023-06-08 - Granted: 2024-05-28 - Earliest claimed: 2021-12-03 - Assignees: Bendix Commercial Vehicle Systems LLC - Applicants: Bendix Commercial Vehicle Systems, LLC - Inventors: Andreas U. Kuehnle; Zheng Li; Karl H. Jones; Eric E. Bloam - Web page: https://patentgrep.com/patent/US11993270B2 ## CPC - B60W 40/09: Driving style or behaviour - B60W 50/0098: {Details of control systems ensuring comfort, safety or stability not otherwise provided for} - G06F 16/24578: {using ranking} - G06V 20/597: {Recognising the driver's state or behaviour, e.g. attention or drowsiness} - G06V 40/172: {Classification, e.g. identification} - B60W 2050/0083: {Setting, resetting, calibration} - B60W 2420/403: Image sensing, e.g. optical camera - B60W 2540/043: Identity of occupants - B60W 2540/30: Driving style - B60W: CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING ## Abstract A system for controlling a vehicle based on a driving style determined driver identity includes sensors that capture driving-style-based data characterizing a driving style of an unknown driver. The system also includes a control unit that determines a driving style vector of the unknown driver from the captured driving-style-based data. The control unit compares the driving style vector of the unknown driver to driving style vectors of a plurality of known drivers to generate a similarity score for each of the plurality of known drivers. The control unit ranks the plurality of known drivers according to their respective similarity scores, and identifies the unknown driver as at least one of the ranked known drivers based on the respective similarity scores. The control unit controls vehicle systems based on the identification of the unknown driver. ## Claims ### Claim 1 A system for controlling a vehicle based on a driving style determined driver identity, comprising: one or more sensors configured to capture driving-style-based data characterizing a driving style of an unknown driver; at least one control unit configured to: determine a driving style vector of the unknown driver from the captured driving-style-based data; compare the driving style vector of the unknown driver to driving style vectors of a plurality of known drivers so as to generate a similarity score for each of the plurality of known drivers compared to; rank at least a subset of the plurality of known drivers according to their respective similarity scores; determine a probable identity of the unknown driver as at least one of the ranked known drivers based on the respective similarity scores; and control at least one vehicle system based on the determined probable identity of the unknown driver. ### Claim 2 (depends on 1) The system of claim 1, further comprising: a secondary driver identification system configured to determine the probable identity of the unknown driver as at least one of the plurality of drivers based on at least one of: biometric data and telematics log-in data, wherein the control unit determines the probable identity of the unknown driver as at least one of the ranked known drivers based on both of: (a) the respective similarity scores, and (b) the secondary driver identification system determined probable identity of the unknown driver. ### Claim 3 (depends on 1) The system of claim 1, wherein the driving style vectors consist of a plurality of vector components, each vector component reflecting a predetermined driving style characteristic. ### Claim 4 (depends on 3) The system of claim 3, wherein at least one vector component reflects a time-free driving style characteristic. ### Claim 5 (depends on 3) The system of claim 3, wherein at least one vector component reflects a time-bound driving style characteristic. ### Claim 6 (depends on 3) The system of claim 3, wherein at least one vector component reflects a paired input-and-reaction driving style characteristic. ### Claim 7 (depends on 1) The system of claim 1, wherein the control unit determines the probable identity of the unknown driver as at least one of the ranked known drivers based on the respective similarity scores exceeding a predetermined threshold. ### Claim 8 (depends on 1) The system of claim 1, wherein the control unit determines the probable identity of the unknown driver as the highest ranked known driver. ### Claim 9 (depends on 1) The system of claim 1, further comprising: a database configured to store the driving style vector in association with the determined probable identity of the unknown driver. ### Claim 10 (depends on 9) The system of claim 9, wherein the database is further configured to store the driving style vector in association with the ranked known drivers. ### Claim 11 A method for controlling a vehicle based on a driving style determined driver identity, comprising: capturing, via one or more sensors, driving-style-based data characterizing a driving style of an unknown driver; determining a driving style vector of the unknown driver from the captured driving-style-based data; comparing the driving style vector of the unknown driver to driving style vectors of a plurality of known drivers so as to generate a similarity score for each of the plurality of known drivers compared to; ranking at least a subset of the plurality of known drivers according to their respective similarity scores; determining a probable identity of the unknown driver as at least one of the ranked known drivers based on the respective similarity scores; and controlling at least one vehicle system based on the determined probable identity of the unknown driver. ### Claim 12 (depends on 11) The method of claim 11, further comprising: determining, via a secondary driver identification system, the probable identity of the unknown driver as at least one of the plurality of drivers based on at least one of: biometric data and telematics log-in data, wherein determining the probable identity of the unknown driver as at least one of the ranked known drivers is based on both of: (a) the respective similarity scores, and (b) the secondary driver identification system determined probable identity of the unknown driver. ### Claim 13 (depends on 11) The method of claim 11, wherein the driving style vectors consist of a plurality of vector components, each vector component reflecting a predetermined driving style characteristic. ### Claim 14 (depends on 13) The method of claim 13, wherein at least one vector component reflects a time-free driving style characteristic. ### Claim 15 (depends on 13) The method of claim 13, wherein at least one vector component reflects a time-bound driving style characteristic. ### Claim 16 (depends on 13) The method of claim 13, wherein at least one vector component reflects a paired input-and-reaction driving style characteristic. ### Claim 17 (depends on 11) The method of claim 11, wherein determining the probable identity of the unknown driver as at least one of the ranked known drivers is based on the respective similarity scores exceeding a predetermined threshold. ### Claim 18 (depends on 11) The method of claim 11, wherein the probable identity of the unknown driver is determined as the highest ranked known driver. ### Claim 19 (depends on 11) The method of claim 11, further comprising: storing, in a database, the driving style vector in association with the determined probable identity of the unknown driver and the ranked known drivers.