Actions Prediction for Hypothetical Driving Conditions

• US 20150142205A1
• Filed: 03/06/2014
• Published: 05/21/2015
• Est. Priority Date: 11/18/2013
• Status: Active Grant

• Current Assignee: Mitsubishi Electric Research Laboratories, Inc. (Mitsubishi Electric Corporation)
• Original Assignee: Mitsubishi Electric Research Laboratories, Inc. (Mitsubishi Electric Corporation)
• Inventors: Harsham, Bret, Hershey, John R., Le Roux, Jonathan, Nikovski, Daniel Nikolaev, Esenther, Alan W.
• Granted Patent: US 9,434,389 B2
• Time in Patent Office: Days
• US Class Current: 701/1
• CPC Class Codes: B60W 2050/0075 Automatic parameter input, automatic initialising or calibrating means
• CPC Class Codes: B60W 2556/10 Historical data
• CPC Class Codes: B60W 50/0097 Predicting future conditions
• CPC Class Codes: B60W 50/085 Changing the parameters of the control units, e.g. changing limit values, working points by control input
• CPC Class Codes: B60W 50/10 Interpretation of driver requests or demands
• CPC Class Codes: G01C 21/3484 Personalized, e.g. from learned user behaviour or user-defined profiles

Abstract

An information system includes a prediction engine for predicting an action based on a set of driving state parameters, and a driving history, and a simulation engine for generating a hypothetical scenario by simulating one or a combination of at least one driving state parameter and at least part of the driving history, such that the prediction engine predicts the action for the hypothetical scenario.

Claims

1. An information system, comprising:

a prediction engine for predicting an action based on a set of driving state a parameters, and a driving history; and

a simulation engine for generating a hypothetical scenario by simulating one or a combination of at least one driving state parameter and at least part of the driving history, such that the prediction engine predicts the action for the hypothetical scenario.

2. The system of claim 1, further comprising:

a driving history module for collecting the driving history of a vehicle or actions of a driver of the vehicle and for creating a prediction model for the prediction engine; and

at least one sensor for determining the driving state parameter having a value independent from the driving history, wherein the simulation engine modifies the value of the driving state parameter.

3. The system of claim 2, further comprising:

a system module using the driving state parameter, wherein the simulation engine modifies only a copy of the driving state parameter used by the prediction engine without modifying the driving state parameter used by the system module.

4. The system of claim 3, wherein the driving state parameter is a current location of a vehicle, wherein the system module is a navigation system of the vehicle, and the simulation engine changes the current location of the vehicle as used by the prediction engine without changing the current location of the vehicle used by the navigation system.

5. The system of claim 3, wherein the driving state parameter is a current time or a calendar date, wherein the system module is a clock or a calendar system of the vehicle, and the simulation engine changes the current time or the calendar date for the prediction engine without changing the current time or the calendar date used by the clock or the calendar system.

6. The system of claim 2, wherein the simulation engine modifies the prediction model without changing the driving history.

7. The system of claim 1, wherein the set of driving state parameters includes an external parameter received from an external sensor, and wherein the simulation engine modifies a received value of the external parameter.

8. The system of claim 1, further comprising:

an output interface for rendering the set of driving state parameters used in a current prediction; and

an input interface for modifying values of at least some driving state parameters in the set.

9. The system of claim 1, further comprising:

a set of internal sensors for determining internal measurements;

a receiver for receiving external measurements of a set of external sensors; and

a processor for determining the set of driving state parameters based on the internal and the external measurements.

10. The system of claim 1, further comprising:

an analytical module for performing an analysis of a set of actions predicted for a set of hypothetical scenarios and for determining a subset of driving state parameters based on the analysis;

an interface for modifying values of at least some driving state parameters in the subset; and

a processor for determining the set of driving state parameters using the modified values of the driving state parameters.

11. The system of claim 10, wherein the output interface displays concurrently multiple actions and multiple corresponding hypothetical scenarios.

12. The system of claim 10, wherein the simulation engine simulates the driving state parameters by initializing the set of driving state parameters, modifying the set of driving state parameters based on the driving history, rendering a subset of driving state parameters to be modified, receiving, in response to the rendering, a modified subset of driving state parameters, and merging the modified subset of driving state parameters with the set of driving state parameters.

13. A method for using a prediction engine of a vehicle, wherein the prediction engine predicts an action based on a set of driving state parameters and a driving a history, comprising:

creating a hypothetical scenario by modifying one or combination of at least one driving state parameter and at least part of the driving history; and

providing the hypothetical scenario to the prediction engine, such that the prediction engine predicts the action for the hypothetical scenario, wherein steps of the method are performed by a processor.