DYNAMIC VEHICLE NOTIFICATION SYSTEM AND METHOD

• US 20170072850A1
• Filed: 09/14/2016
• Published: 03/16/2017
• Est. Priority Date: 09/14/2015
• Status: Abandoned Application

• Current Assignee: Pearl Automation Inc.
• Original Assignee: Pearl Automation Inc.
• Inventors: Sikka, Aman, Curtis, Robert, Vora, Saket, Sander, Brian, Fisher, Joseph, Gardner, Bryson, Mincey, Tyler, Du Bois, Ryan, Fino, Jorge
• Application Number:
  US15/265,246
• Publication Number:
  US 20170072850A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: B60K 2360/167 Vehicle dynamics information
• CPC Class Codes: B60K 2360/171 Vehicle or relevant part thereof displayed
• CPC Class Codes: B60K 2360/178 Warnings
• CPC Class Codes: B60K 2360/179 Distances to obstacles or vehicles
• CPC Class Codes: B60K 2360/48 Sensors
• CPC Class Codes: B60K 2360/566 Mobile devices displaying vehicle information
• CPC Class Codes: B60K 2360/573 Mobile devices controlling vehicle functions
• CPC Class Codes: B60K 2360/5915 Inter vehicle communication
• CPC Class Codes: B60K 31/0008 including means for detecting potential obstacles in vehicle path
• CPC Class Codes: B60K 35/00 Instruments specially adapted for vehicles; Arrangement of instruments in or on vehicles
• CPC Class Codes: B60K 35/22 Display screens
• CPC Class Codes: 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
• CPC Class Codes: B60K 35/80 Arrangements for controlling instruments
• CPC Class Codes: B60K 35/85 Arrangements for transferring vehicle- or driver-related data
• CPC Class Codes: B60R 13/105 Licence- or registration plates, provided with mounting means, e.g. frames, holders, retainers, brackets
• CPC Class Codes: B60W 2420/403 Image sensing, e.g. optical camera
• CPC Class Codes: B60W 2510/1005 Transmission ratio engaged
• CPC Class Codes: B60W 2554/00 Input parameters relating to objects
• CPC Class Codes: B60W 2556/10 Historical data
• CPC Class Codes: B60W 2556/45 External transmission of data to or from the vehicle
• CPC Class Codes: B60W 30/0953 : the prediction being responsive to vehicle dynamic parameters
• CPC Class Codes: B60W 30/0956 : the prediction being responsive to traffic or environmental parameters
• CPC Class Codes: B60W 40/08 : related to drivers or passengers
• CPC Class Codes: B60W 50/0097 : Predicting future conditions
• CPC Class Codes: B60W 50/14 : Means for informing the driver, warning the driver or prompting a driver intervention
• CPC Class Codes: G08G 1/0112 : from the vehicle, e.g. floating car data [FCD]
• CPC Class Codes: G08G 1/0129 : for creating historical data or processing based on historical data
• CPC Class Codes: G08G 1/165 : for passive traffic, e.g. including static obstacles, trees
• CPC Class Codes: G08G 1/166 : for active traffic, e.g. moving vehicles, pedestrians, bikes
• CPC Class Codes: G08G 1/168 : Driving aids for parking, e.g. acoustic or visual feedback on parking space

Abstract

A method for dynamic notification generation for a driver of a vehicle, including receiving a first data set indicative of vehicle operation, predicting an imminent driving event based on the first data set, determining a notification associated with the imminent driving event, controlling a vehicle notification system to provide the notification, receiving a second data set indicative of vehicle operation, determining a notification effect of the notification on a behavior of a driver of the vehicle, and generating a user profile based on the notification effect.

Claims

1. A method for dynamic notification generation for a driver of a vehicle, the method comprising:

during a first driving session;

receiving a first data set from a sensor module attached to the vehicle, the first data set comprising image data, the first data set collected at a first collection time;

predicting a first imminent driving event based on the first data set, the first imminent driving event associated with the vehicle moving backward;

determining a first notification based on the first data set, the first notification associated with the first imminent driving event;

controlling a vehicle notification system within the vehicle to provide the first notification at a first notification time, wherein the first notification time is within a first time window after the first collection time; and

collecting a second data set within a second time window after the first notification time;

determining, based on the second data set, a notification effect of the first notification on a behavior of the driver;

generating an updated user profile based on the notification effect; and

during a second driving session after the first driving session;

predicting a second imminent driving event for the driver;

determining a second notification based on the second imminent driving event and the updated user profile; and

controlling the vehicle notification system to provide the second notification at a second notification time.

2. The method of claim 1, further comprising classifying the first imminent driving event as belonging to a first driving event class and classifying the second imminent driving event as belonging to the first driving event class.

3. The method of claim 2, wherein providing the first notification comprises generating sound at a first characteristic volume and providing the second notification comprises generating sound at a second characteristic volume greater than the first characteristic volume.

4. The method of claim 1, further comprising:

predicting that the first imminent driving event will occur at a predicted first event time;

determining that the first imminent driving event has occurred at an actual first event time, based on the second data set;

generating an updated user response profile based on the predicted first event time and the actual first event time;

determining a user response time interval, based on the updated user response profile; and

predicting the second imminent driving event will occur at a predicted second event time, based on the updated user profile;

wherein;

the second notification time precedes the predicted second event time by a time interval greater than the user response time interval;

generating the updated user profile further comprises generating the updated user response profile; and

the updated user profile comprises the updated user response profile.

5. The method of claim 1, wherein the updated user profile comprises a module configured to determine the second notification based on the second imminent driving event;

wherein determining the second notification further comprises using the module.

6. The method of claim 5, wherein generating the updated user profile further comprises generating the module based on a supervised learning process based on the notification effect.

7. The method of claim 1, further comprising receiving a vehicle-originated data set from the vehicle, wherein predicting the first imminent driving event is further based on the vehicle-originated data set.

8. The method of claim 1, wherein:

the first data set is received wirelessly at a hub attached to the vehicle;

the vehicle notification system comprises a user device comprising a display and a speaker; and

controlling the vehicle notification system to provide the first notification further comprises, at the hub, wirelessly transmitting an instruction to the vehicle notification system, the instruction comprising an instruction to provide the first notification.

9. The method of claim 1, wherein:

the first data set comprises an image of a portion of an obstacle;

predicting the first imminent driving event further comprises;

determining an obstacle position of the obstacle relative to the vehicle based on the first data set;

predicting a vehicle path of the vehicle; and

determining a potential collision between the vehicle and the obstacle based on the obstacle position and the vehicle path; and

the first notification comprises the image.

10. A method for dynamic notification generation for a driver of a vehicle, the method comprising:

at a sensor system attached to the vehicle;

collecting a first data set at a first collection time;

receiving a vehicle-originated data set from the vehicle;

predicting, based on the first data set and the vehicle-originated data set, a first imminent driving event;

determining, based on the first data set and the vehicle-originated data set, a first notification associated with the first imminent driving event;

controlling a vehicle notification system within the vehicle to provide the first notification at a notification time, wherein the notification time is within a first time window after the first collection time; and

collecting a second data set within a second time window after the notification time;

at a remote computing system;

receiving a third data set, the third data set comprising;

the second data set and a data set indicative of the first notification;

determining, based on the third data set, a notification effect of the first notification on a behavior of the driver;

generating an updated user profile based on the notification effect; and

transmitting the updated user profile to the sensor system; and

at the sensor system;

predicting a second imminent driving event for the driver;

determining a second notification based on the second imminent driving event and the updated user profile; and

controlling the vehicle notification system to provide the second notification.

11. The method of claim 10, wherein:

the sensor system comprises a sensor module and a hub;

collecting the first data set occurs at the sensor module; and

receiving the vehicle-originated data set occurs at the hub;

the method further comprising;

wirelessly transmitting the first data set from the sensor module to the hub before predicting the first imminent driving event.

12. The method of claim 11, wherein:

the first imminent driving event and the second imminent driving event are associated with the vehicle moving backward; and

the first data set further comprises image data.

13. The method of claim 12, wherein the vehicle-originated data set comprises data indicative of the vehicle being in a reverse gear.

14. The method of claim 10, wherein:

determining the first notification is further based on an initial user profile; and

generating the updated user profile is further based on the initial user profile.

15. The method of claim 14, wherein determining the first notification further comprises:

performing classification of the first data set and the vehicle-originated data set to predict a driving event class;

selecting a notification class associated with the driving event class; and

determining the first notification based on the notification class.

16. The method of claim 14, further comprising:

at the sensor system, receiving a user identifier from a user device; and

selecting the initial user profile from a plurality of user profiles, the initial user profile associated with the user identifier.

17. The method of claim 10, wherein receiving the vehicle-originated data set further comprises receiving the vehicle-originated data set through an OBD-II diagnostic connector.

18. The method of claim 10, wherein the data set indicative of the first notification comprises the notification time and a notification appearance parameter value associated with the first notification.

19. The method of claim 10, wherein predicting the first imminent driving event is further based on a second user profile of a second user, the second user within a threshold geographic distance of the vehicle.

20. The method of claim 10, wherein:

the first data set comprises an image;

the method further comprises predicting a region of the image associated with the first imminent driving event, the region smaller than the image; and

the first notification comprises a notification image based on the region of the image.