System and method for vehicle gamification

Patent metadata

Field	Value
Publication number	US-12503133-B2
Application number	US-202117186805-A
Country	US
Kind code	B2
Filing date	Feb 26, 2021
Priority date	Feb 26, 2021
Publication date	Dec 23, 2025
Grant date	Dec 23, 2025

Abstract

Systems and methods are provide an incentive for a driver to improve power systems, safety systems, and autonomous driving systems of a vehicle. A method includes determining a learning goal for the vehicle. The method includes generating a request based on the learning goal. The method includes calculating a reward value. The method includes displaying a task on a user interface of the vehicle. The task may be based on the request, the reward value, or both. The method includes obtaining sensor data. The sensor data may be obtained based on an initiation of the task. The method includes determining progress of the task. The method includes transmitting a notification based on a determination that the task is completed.

First claim

What is claimed is:

1 . A method for use in a vehicle, the method comprising:
determining, by an autonomous vehicle system, a learning goal for improving a standard definition navigation map of the autonomous vehicle system, wherein the learning goal is determined in real-time by the autonomous vehicle system based on an automated detection of incomplete or outdated data in the standard definition navigation map for a route currently being traversed by the vehicle; generating a request for targeted data collection based on the learning goal; calculating a reward value based on a priority and type of map deficiency; displaying a task on a user interface of the vehicle, wherein the task is based on the request and the reward value and is dynamically generated to address the map deficiency; obtaining sensor data based on an initiation of the task; determining progress of the task; transmitting a notification based on a determination that the task is completed; and updating the standard definition navigation map, based on the sensor data, to a high definition navigation map that includes a driver attribute for a predetermined route, wherein the update is performed automatically by the autonomous vehicle system and the driver attribute is derived from the sensor data associated with the completed task and the predetermined route.

2 . The method of claim 1 further comprising:
transmitting a progress notification based on the determined progress.

3 . The method of claim 2 , wherein the notification or the progress notification is an audible alert, a visual alert, or a haptic alert.

4 . The method of claim 3 , wherein the visual alert is a text alert on the user interface of the vehicle, a graphical alert on the user interface of the vehicle, or a change in a lighting condition of an interior of the vehicle.

5 . The method of claim 3 , wherein the haptic alert includes haptic feedback from a steering wheel of the vehicle, a seat of the vehicle, an accelerator pedal of the vehicle, or a brake pedal of the vehicle.

6 . The method of claim 1 further comprising:
correlating the sensor data with the learning goal.

7 . The method of claim 1 , wherein the standard definition navigation map is updated to improve autonomous driving capability.

8 . The method of claim 7 , wherein updating the standard definition navigation map to a high definition navigation map further includes updating a traffic pattern, a traffic speed, a road topology, a lane topology, or an ambient noise value.

9 . The method of claim 1 , wherein the reward value is based on the learning goal.

10 . The method of claim 1 , wherein the task includes a driving instruction, a number of repetitions, a duration of time, a battery consumption threshold, or an ambient noise threshold.

11 . A vehicle comprising:
a processor configured to:
determine a learning goal for improving a standard definition navigation map of an autonomous vehicle system, wherein the learning goal is determined in real-time by the autonomous vehicle system based on an automated detection of incomplete or outdated data in the standard definition navigation map for a route currently being traversed by the vehicle;
generate a request for targeted data collection based on the learning goal;
calculate a reward value based on a priority and type of map deficiency;
a user interface configured to display a task, wherein the task is based on the request and the reward value and is dynamically generated to address the map deficiency; and a sensor configured to obtain data based on an initiation of the task; wherein the processor is further configured to:
determine progress of the task;
transmit a notification based on a determination that the task is completed; and
update the standard definition navigation map, based on the obtained data from the sensor, to a high definition navigation map that includes a driver attribute amount for a predetermined route, wherein the update is performed automatically by the autonomous vehicle system and the driver attribute is derived from the sensor data associated with the completed task and the predetermined route.

12 . The vehicle of claim 11 , wherein the processor is further configured to transmit a progress notification based on the determined progress.

13 . The vehicle of claim 12 , wherein the notification or the progress notification is an audible alert, a visual alert, or a haptic alert.

14 . The vehicle of claim 13 , wherein the visual alert is a text alert on the user interface of the vehicle, a graphical alert on the user interface of the vehicle, or a change in a lighting condition of an interior of the vehicle.

15 . The vehicle of claim 13 , wherein the haptic alert includes haptic feedback from a steering wheel of the vehicle, a seat of the vehicle, an accelerator pedal of the vehicle, or a brake pedal of the vehicle.

16 . The vehicle of claim 11 , wherein the processor is further configured to correlate the sensor data with the learning goal.

17 . The vehicle of claim 11 , wherein the processor is further configured to update the standard definition navigation map to improve autonomous driving capability.

18 . The vehicle of claim 17 , wherein the processor is further configured to update a traffic pattern, a traffic speed, a road topology, a lane topology, or an ambient noise value of the standard definition navigation map.

19 . The vehicle of claim 11 , wherein the reward value is based on the learning goal.

20 . The vehicle of claim 11 , wherein the task includes a driving instruction, a number of repetitions, a duration of time, a battery consumption threshold, or an ambient noise threshold.

Assignees

• Nissan North America Inc

Inventors

• Wray Kyle Hollins
• Stayton Erik
• Witwicki Stefan

Classifications

• B60W50/06

  Improving the dynamic response of the control system, e.g. improving the speed of regulation or avoiding hunting or overshoot · CPC title

• G07C5/0816 Primary

  Indicating performance data, e.g. occurrence of a malfunction · CPC title

• B60W60/00

  Drive control systems specially adapted for autonomous road vehicles · CPC title

• B60W2050/146

  Display means · CPC title

• B60W50/14

  Means for informing the driver, warning the driver or prompting a driver intervention · CPC title