Model-free reinforcement learning
US-2021086798-A1 · Mar 25, 2021 · US
US2021170972A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2021170972-A1 |
| Application number | US-202017109767-A |
| Country | US |
| Kind code | A1 |
| Filing date | Dec 2, 2020 |
| Priority date | Dec 6, 2019 |
| Publication date | Jun 10, 2021 |
| Grant date | — |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
An information processing device that provides information to an occupant who performs a given activity in a vehicle has a controller. The controller predicts an acceleration applied to the vehicle within a predetermined period, gives notice to the occupant when a value related to the predicted acceleration exceeds a threshold value, and determines the threshold value based on a type of the activity performed in the vehicle.
Opening claim text (preview).
What is claimed is: 1 . An information processing device that provides information to an occupant who performs a given activity in a vehicle, the information processing device comprising a controller configured to: predict an acceleration applied to the vehicle within a predetermined period; give notice to the occupant when a value related to the predicted acceleration exceeds a threshold value; and determine the threshold value based on a type of the activity performed in the vehicle. 2 . The information processing device according to claim 1 , further comprising a storage unit configured to store the type of the activity and the threshold value such that the type of the activity is associated with the threshold value. 3 . The information processing device according to claim 1 , wherein: the vehicle is adapted to travel with a cabin unit joined to the vehicle; and the controller is configured to determine the threshold value, based on the type of the activity of the occupant performed in the cabin unit joined to the vehicle. 4 . The information processing device according to claim 3 , wherein the controller is configured to determine the threshold value, based on a type of the cabin unit joined to the vehicle. 5 . The information processing device according to claim 1 , wherein the controller is configured to compare the acceleration and a jerk of the vehicle with a first threshold value and a second threshold value, respectively, each of the first threshold value and the second threshold value being the threshold value. 6 . The information processing device according to claim 5 , wherein the controller is configured to give notice to the occupant by different methods, depending on whether the acceleration exceeds the first threshold value or the jerk exceeds the second threshold value. 7 . The information processing device according to claim 1 , wherein the controller is configured to predict the acceleration, by making a first prediction based on information obtained from a sensor included in the vehicle, and making a second prediction based on a result of matching of position information of the vehicle against map data. 8 . The information processing device according to claim 1 , wherein the controller is configured to obtain data concerning a speed and a steering angle, from an automatic driving system included in the vehicle, and predicts the acceleration based on the data. 9 . The information processing device according to claim 1 , wherein the controller is configured to determine the threshold value, based on the type of the activity, and a condition of the occupant obtained by sensing the occupant. 10 . The information processing device according to claim 9 , wherein the controller is configured to set the threshold value to a larger value in a case where the occupant is not performing the given activity, than that in a case where the occupant is performing the given activity. 11 . An information processing method performed by an information processing device that provides information to an occupant who performs a given activity in a vehicle, the information processing method comprising: predicting an acceleration applied to the vehicle within a predetermined period; giving notice to the occupant when a value related to the predicted acceleration exceeds a threshold value; and determining the threshold value based on a type of the activity performed in the vehicle. 12 . The information processing method according to claim 11 , further comprising obtaining data in which the type of the activity is associated with the threshold value. 13 . The information processing method according to claim 11 , wherein: the vehicle is adapted to travel with a cabin unit joined to the vehicle; and the threshold value is determined, based on the type of the activity of the occupant performed in the cabin unit joined to the vehicle. 14 . The information processing method according to claim 13 , wherein the threshold value is determined, based on a type of the cabin unit joined to the vehicle. 15 . The information processing method according to claim 11 , wherein the acceleration and a jerk of the vehicle are compared with a first threshold value and a second threshold value, respectively, each of the first threshold value and the second threshold value being the threshold value. 16 . The information processing method according to claim 15 , wherein the notice is given to the occupant by different methods, depending on whether the acceleration exceeds the first threshold value or the jerk exceeds the second threshold value. 17 . The information processing method according to claim 11 , wherein the acceleration is predicted by making a first prediction based on information obtained from a sensor included in the vehicle, and making a second prediction based on a result of matching of position information of the vehicle against map data. 18 . The information processing method according to claim 11 , wherein data concerning a speed and a steering angle is obtained from an automatic driving system included in the vehicle, and the acceleration is predicted based on the data. 19 . The information processing method according to claim 11 , wherein the threshold value is determined, based on the type of the activity, and a condition of the occupant obtained by sensing the occupant. 20 . The information processing method according to claim 19 , wherein the threshold value is set to a larger value in a case where the occupant is not performing the given activity, than that in a case where the occupant is performing the given activity. 21 . A program that causes a computer to execute the information processing method according to claim 11 .
Data fusion · CPC title
Means for informing the driver, warning the driver or prompting a driver intervention · CPC title
Predicting future conditions · CPC title
Planning or execution of driving tasks · CPC title
Diagnosing performance data (testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005) · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.