System and method for recursive driver training

• US 5,269,687 A
• Filed: 02/16/1993
• Issued: 12/14/1993
• Est. Priority Date: 08/01/1990
• Status: Expired due to Term

• Current Assignee: Warner Bros Entertainment Incorporated (Warner Bros. Discovery, Inc.)
• Original Assignee: Atari Incorporated (Infogrames Entertainment SA)
• Inventors: Mott, Stephanie J., Moncrief, Rick L., Behensky, Max L.
• Primary Examiner(s): Apley, Richard J.
• Assistant Examiner(s): Cheng, Joe H.
• Application Number:
  US08/018,340
• Time in Patent Office: 301 Days
• Field of Search: 434/29, 434/38, 434/43, 434/62, 434/65, 434/69, 434/307, 434/308, 434/373, 358/104, 340/724, 340/725, 364/410, 364/578, 273/85 G, 273/86 R, 273/86 B, 273/434, 273/437, 273/440, 273/442, 273/445, 273/454, 273/DIG. 28
• US Class Current: 434/69
• CPC Class Codes: A63F 13/245 specially adapted to a particular type of game, e.g. steering wheels
• CPC Class Codes: A63F 13/53 involving additional visual information provided to the game scene, e.g. by overlay to simulate a head-up display [HUD] or displaying a laser sight in a shooting game
• CPC Class Codes: A63F 13/67 adaptively or by learning from player actions, e.g. skill level adjustment or by storing successful combat sequences for re-use
• CPC Class Codes: A63F 13/803 Driving vehicles or craft, e.g. cars, airplanes, ships, robots or tanks
• CPC Class Codes: A63F 2300/303 for displaying additional data, e.g. simulating a Head Up Display
• CPC Class Codes: A63F 2300/6027 using adaptive systems learning from user actions, e.g. for skill level adjustment
• CPC Class Codes: A63F 2300/63 for controlling the execution of the game in time
• CPC Class Codes: A63F 2300/636 involving process of starting or resuming a game
• CPC Class Codes: A63F 2300/8017 Driving on land or water; Flying
• CPC Class Codes: G09B 9/05 the view from a vehicle being simulated G09B9/052, G09B9/058 take precedence

Abstract

A driver training system for a user of a simulated vehicle. The system includes input devices for controlling the simulated vehicle, a video display having three-dimensional graphics, modeling software for determining position information based on the input devices, and recursive training software to display a previous route through an environment simultaneously with a present route through the environment. The user then incrementally and recursively maximizes parameters associated with vehicle operation skill. The driver training system may be embodied as an arcade game.

Claims

1. A driver training system for a user of a simulated vehicle, comprising:

a plurality of simulated input devices for controlling said simulated vehicle;

a video device for presenting said user with a view of a simulated environment;

modeling means responsive to said input devices for determining position information of said simulated vehicle in said simulated environment;

a memory including present and previous buffers;

recording means responsive to said position information for storing a present route of said simulated vehicle through said simulated environment and at least one parameter indicative of the present route in the present buffer; and

recursive training means for storing a previous route of said simulated vehicle through said simulated environment and at least one parameter indicative of the previous route in the previous buffer;

wherein said previous route is communicated along with the present route to said video display; and

wherein in a first present route, the position information and parameter of the first present route is stored in the previous buffer so that information in the previous buffer is overwritten and thereby no prerecorded information remains in the previous buffer, and for every successive present route through the simulated environment after the first present route, a best route through the simulated environment is selected by comparing the stored previous and present route parameters and the selected best route and parameter is stored in the previous buffer so that each and every previous route represents the best route only with respect to each and every one of its respective preceding previous route and the present route.

2. The system defined in claim 1 wherein said input devices include a gas pedal, brake pedal and steering wheel.

3. The system defined in claim 2 wherein said input devices further include a gearshift.

4. The system defined in claim 3 wherein said input devices further include a clutch pedal.

5. The system defined in claim 3 wherein said steering wheel is responsive to feedback signals from said recursive training means.

6. The system defined in claim 1, additionally comprising a speaker responsive to said recursive training means.

7. A system for driver training, comprising:

a plurality of simulated controls having analogues to controls of a real-world vehicle;

a visual device;

a processor responsive to said simulated controls for generating personalized feedback including a simulated environment, a present simulated vehicle having a present route and present parameter and a previous simulated vehicle, wherein the previous simulated vehicle is a recording of a previous route and previous route parameter through an environment that maximizes at least one parameter indicative of any one previous route with respect to other previously simulated routes according to a preselected maximization criteria, and wherein said personalized feedback is communicated to said visual device for presentation to a user; and

means for comparing said parameters of said previous route and said present route including buffers for recording said previous and said present routes and parameters, wherein in a first present route, the route and parameter of the first present route is stored in said previous buffer so that no prerecorded route and parameter remains in said previous buffer, and for every successive present route through the simulated environment after the first present route, said present route is recorded and selected to replace said recorded previous route only if the present parameter satisfies the maximization criteria.

8. The system defined in claim 7, wherein the parameter to be compared is time to traverse a route and the maximization criteria is the least time for a route to be traversed.

9. The system defined in claim 7, wherein the simulated vehicle is a vehicle that moves over roads.

10. The system defined in claim 7, wherein the personalized feedback includes a three-dimensional graphical representation of the simulated environment.

11. The system defined in claim 7, wherein the processor includes a model process for determining position information of the vehicle.

12. In a system for a simulating a vehicle, the system having a processor, a set of input devices, and display means for displaying a simulated environment, a method of recursive driver training comprising the steps of:

(a) receiving signals from the input devices into the processor, said signals indicative of a change in vehicle position;

(b) calculating in the processor position information of the simulated vehicle based on previous position information and the changes indicated by the signals;

(c) storing in the processor a sequence of position information indicative of a present route through the simulated environment;

(d) measuring in the processor at least one parameter indicative of the present route;

(e) selecting in the processor a best route, wherein on the first present route the first present route is the best route and on successive present routes the best route selected by comparing the parameter of the present route against the parameter of the previous route;

(f) storing in the processor the best route as the previous route according to the result of the comparison;

(g) simultaneously displaying by the display means a view of the simulated environment at each calculated position indicative of the present route and a vehicle indicative of the previous route; and

(h) repeating steps (a)-(g) a plurality of times.