# US 11,027,747 B2 · Vehicle content based symbiosis for vehicle occupants > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,027,747 B2 - Document ID: US11027747B2 - Status: Granted - Kind: B2 - Application number: 15/980,079 - Filed: 2018-05-15 - Published: 2019-11-21 - Granted: 2021-06-08 - Earliest claimed: 2018-05-15 - Assignees: International Business Machines Corporation - Applicants: International Business Machines Corporation - Inventors: Marc Yvon; Didier Boullery; Aaron K. Baughman; Todd R. Whitman - Web page: https://patentgrep.com/patent/US11027747B2 ## CPC - B60W 50/14: Means for informing the driver, warning the driver or prompting a driver intervention - G08G 1/165: {for passive traffic, e.g. including static obstacles, trees} - B60K 35/10: Input arrangements, i.e. from user to vehicle, associated with vehicle functions or specially adapted therefor - B60K 35/28: characterised by the type of the output information, e.g. video entertainment or vehicle dynamics information; characterised by the purpose of the output information, e.g. for attracting the attention of the driver - B60K 35/656: {the user being a passenger} - B60W 30/085: Taking automatic action to adjust vehicle attitude in preparation for collision, e.g. braking for nose dropping - B60W 50/0097: {Predicting future conditions} - B60W 50/16: Tactile feedback to the driver, e.g. vibration or force feedback to the driver on the steering wheel or the accelerator pedal - G08G 1/16: Anti-collision systems (road vehicle drive control systems for predicting or avoiding probable or impending collision otherwise than by control of a particular sub-unit B60W30/08) - G08G 1/166: {for active traffic, e.g. moving vehicles, pedestrians, bikes} - G08G 1/167: {Driving aids for lane monitoring, lane changing, e.g. blind spot detection} - B60K 2360/175: Autonomous driving - B60K 2360/178: Warnings - B60K 2360/179: Distances to obstacles or vehicles - B60W 2050/143: {Alarm means} - B60W 2050/146: {Display means} - 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 - G08G: TRAFFIC CONTROL SYSTEMS (guiding railway traffic, ensuring the safety of railway traffic B61L; arrangement of road signs or traffic signals E01F9/00; radar or analogous systems, sonar systems, lidar systems specially adapted for traffic control G01S13/91, G01S15/88, G01S17/88; {radar or analogous systems, sonar systems, lidar systems specially adapted for anti-collision purposes G01S13/93, G01S15/93, G01S17/93}) - B60K: ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES ## Abstract Vehicle event processing includes vehicle event detection, notification and/or action response processing. Information relating to a vehicle event is automatically distributed among a plurality of occupants of a vehicle. The plurality of occupants includes a driver of the vehicle and one or more passengers of the vehicle. Based on at least a portion of the information distributed and a perspective of at least one passenger of the one or more passengers, at least one tracking component of the vehicle is adjusted. Based on the adjusting, additional information is obtained. Based on at least a portion of the additional information, an action is automatically taken. ## Claims ### Claim 1 A system for a vehicle to facilitate navigating one or more vehicle events, the system comprising: a plurality of cameras that generate image data to facilitate detecting a vehicle event; a memory; and a processor communicatively coupled to the plurality of cameras and the memory, wherein the system performs a method comprising: detecting, by the processor, the vehicle event based on generated image data that is received from one or more cameras of the plurality of cameras; automatically distributing, by the processor, a notification relating to the vehicle event to occupants of the vehicle; determining, by the processor, a view of an occupant of the occupants of the vehicle, the view of the occupant being determined based on perspective image data, indicative of the view of the occupant, from a camera of the plurality of cameras; adjusting at least one camera of the plurality of cameras based on at least a portion of the notification distributed and the perspective image data; obtaining, based on the adjusting, additional image data on the vehicle event from one of the plurality of cameras; and automatically taking an action to facilitate navigating the vehicle event, the automatically taking the action being based on at least a portion of the additional image data. ### Claim 2 (depends on 1) The system of claim 1, wherein the method further comprises forecasting, based on the perspective image data, alertness of one or more of the occupants of the vehicle, and wherein the adjusting the at least one camera is based on the forecasting. ### Claim 3 (depends on 1) The system of claim 1, wherein the occupants of the vehicle include a driver of the vehicle and the automatically taking the action includes alerting the driver or the vehicle to perform a vehicle maneuver. ### Claim 4 (depends on 3) The system of claim 3, wherein the vehicle maneuver includes changing a speed of the vehicle or adjusting a steering wheel of the vehicle. ### Claim 5 (depends on 3) The system of claim 3, wherein the alerting the driver comprises providing a signal, via an electronic device, to alert the driver, the signal being selected from a group consisting of: a physical contact, a display and a sound. ### Claim 6 (depends on 1) The system of claim 1, wherein the method further comprises: forecasting, based on the perspective image data, alertness of one or more of the occupants of the vehicle; and wherein the automatically distributing the notification relating to the vehicle event is based, at least in part, on the forecasted alertness of the one or more of the occupants of the vehicle. ### Claim 7 (depends on 1) The system of claim 1, wherein the occupants of the vehicle include at least one robot. ### Claim 8 A method of facilitating navigating one or more vehicle events, the method comprising: detecting, by a processor, a vehicle event of a vehicle, the vehicle event being detected based on image data received from one or more cameras of a plurality of cameras communicatively coupled to the processor; automatically distributing, by the processor, a notification relating to the vehicle event to occupants of the vehicle; determining, by the processor, a view of an occupant of the occupants of the vehicle, the view of the occupant being determined based on perspective image data, indicative of the view of the occupant, obtained from a camera of the plurality of cameras; adjusting at least one camera of the plurality of cameras based on at least a portion of the notification distributed and the perspective image data; obtaining, based on the adjusting, additional image data on the vehicle event from one of the plurality of cameras; and automatically taking an action to facilitate navigating the vehicle event, the automatically taking the action being based on at least a portion of the additional image data. ### Claim 9 (depends on 8) The method of claim 8, further comprising forecasting, based on the perspective image data, alertness of one or more occupants of the vehicle, and wherein the adjusting the at least one camera is based on the forecasting. ### Claim 10 (depends on 8) The method of claim 8, wherein the occupants of the vehicle include a driver of the vehicle and the automatically taking the action includes alerting the driver or the vehicle to perform a vehicle maneuver. ### Claim 11 (depends on 1) The method of claim 1, further comprising: forecasting, based on the perspective image data, alertness of one or more of the occupants of the vehicle; and wherein the automatically distributing the notification relating to the vehicle event is based, at least in part, on the forecasted alertness of the one or more occupants of the vehicle. ### Claim 12 A computer program product for facilitating navigating one or more vehicle events, the computer program product comprising: at least one non-transitory computer readable storage medium readable by a processor and storing instructions for performing a method comprising: detecting, by the processor, a vehicle event of the one or more vehicle events based on image data received from one or more cameras of a plurality of cameras associated with the vehicle; automatically distributing, by the processor, a notification relating to the vehicle event to occupants of the vehicle; determining, by the processor, a view of an occupant of the occupants of the vehicle, the view of the occupant being determined based on perspective image data, indicative of the view of the occupant, from a camera of the plurality of cameras; adjusting at least one camera of the plurality of cameras based on at least a portion of the notification distributed and the perspective image data; obtaining, based on the adjusting, additional image data on the vehicle event from one of the plurality of cameras; and automatically taking an action to facilitate navigating the vehicle event, the automatically taking the action being based on at least a portion of the additional image data. ### Claim 13 (depends on 12) The computer program product of claim 12, wherein the method further comprises forecasting, based on the perspective image data, alertness of the occupant of the vehicle, and wherein the adjusting the at least one camera is based on the forecasting.