Cognitive state vehicle navigation based on image processing
Image-based analysis techniques are used for cognitive state vehicle navigation, including an autonomous or a semi-autonomous vehicle. Images including facial data of a vehicle occupant are obtained using an in-vehicle imaging device. The vehicle occupant can be an operator of or a passenger within the vehicle. A first computing device is used to analyze the images to determine occupant cognitive state data. The analysis can occur at various times along a vehicle travel route. The cognitive state data is mapped to location data along the vehicle travel route. Information about the vehicle travel route is updated based on the cognitive state data. The updated information is provided for vehicle control. The updated information is rendered on a second computing device. The updated information includes road ratings for segments of the vehicle travel route. The updated information includes an emotion metric for vehicle travel route segments.
1. A computer-implemented method for vehicle navigation comprising:
obtaining, using one or more processors, one or more images of a vehicle occupant using a first imaging device within a vehicle, wherein the one or more images include facial data of the vehicle occupant;
analyzing, using a first computing device, the one or more images to determine cognitive state data for the vehicle occupant;
mapping the cognitive state data to location data along a vehicle travel route;
updating information about the vehicle travel route based on the cognitive state data; and
providing the information that was updated for vehicle control.
2. The method of claim 1 further comprising rendering the information that was updated on a second computing device.
3. The method of claim 1 wherein the information that was updated includes road ratings for one or more segments of the vehicle travel route.
4. The method of claim 1 wherein the information that was updated includes an emotion metric for one or more segments of the vehicle travel route.
5. The method of claim 1 further comprising obtaining additional images of one or more additional occupants of the vehicle.
6. The method of claim 5 further comprising generating a combined cognitive metric for the vehicle occupant and the one or more additional occupants.
7. The method of claim 1 further comprising obtaining one or more additional images of one or more additional occupants of one or more additional vehicles.
8. The method of claim 7 wherein the one or more additional images are used to determine aggregated cognitive state data for one or more segments of the vehicle travel route.
9. The method of claim 8 wherein the aggregated cognitive state data for the one or more segments of the vehicle travel route comprises a vehicle route mood map.
10. The method of claim 9 wherein the vehicle route mood map enables vehicle route planning.
11. The method of claim 9 wherein the vehicle route mood map enables vehicle route redeployment.
12. The method of claim 8 wherein the aggregated cognitive state data for the one or more segments of the vehicle travel route enables autonomous vehicle control.
13. The method of claim 8 wherein the aggregated cognitive state data for the one or more segments of the vehicle travel route enables route-based advertising placement.
14. The method of claim 1 further comprising updating a proposed vehicle travel route based on the cognitive state data and the information that was updated.
15. The method of claim 14 wherein the vehicle travel route and the proposed vehicle travel route are determined by a navigation app on a second computing device.
16. The method of claim 1 further comprising obtaining audio information from the vehicle occupant and augmenting the analyzing based on the audio information.
17. The method of claim 16 wherein the audio information includes non-speech vocalizations.
18. The method of claim 1 further comprising obtaining one or more additional images of one or more additional vehicle occupants using the first imaging device.
19. The method of claim 1 further comprising obtaining one or more additional images of one or more additional vehicle occupants using at least a second imaging device.
20. The method of claim 1 wherein the one or more images are used to perform facial recognition.
21. The method of claim 20 wherein the facial recognition is used to generate vehicle seating maps.
22. The method of claim 1 further comprising tagging the cognitive state data with sensor data.
23. The method of claim 22 wherein the sensor data includes one or more of vehicle temperature, outside temperature, time of day, level of daylight, weather conditions, headlight activation, windshield wiper activation, entertainment center selection, or entertainment center volume.
24. The method of claim 1 wherein the cognitive state data that was analyzed is based on intermittent obtaining of the one or more images that include facial data.
25. A computer program product embodied in a non-transitory computer readable medium for vehicle navigation, the computer program product comprising code which causes one or more processors to perform operations of:
obtaining, using the one or more processors, one or more images of a vehicle occupant using a first imaging device within a vehicle, wherein the one or more images include facial data of the vehicle occupant;
analyzing, using a first computing device, the one or more images to determine cognitive state data for the vehicle occupant;
mapping the cognitive state data to location data along a vehicle travel route;
updating information about the vehicle travel route based on the cognitive state data; and
providing the information that was updated for vehicle control.
26. A computer system for vehicle navigation comprising:
a memory which stores instructions;
one or more processors attached to the memory wherein the one or more processors, when executing the instructions which are stored, are configured to:
obtain, using the one or more processors, one or more images of a vehicle occupant using a first imaging device within a vehicle, wherein the one or more images include facial data of the vehicle occupant;
analyze, using a first computing device, the one or more images to determine cognitive state data for the vehicle occupant;
map the cognitive state data to location data along a vehicle travel route;
update information about the vehicle travel route based on the cognitive state data; and
provide the information that was updated for vehicle control.